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2017 | Book

Engineering Systems and Networks

The Way Ahead for Industrial Engineering and Operations Management


About this book

This book gathers a selection of the best papers presented at the joint international conference ICIEOM-CIO-IIE 2015, offering recent research on industrial engineering, management and operations from an international and interdisciplinary perspective. It includes contributions from different fields, such as operations research, modeling and simulation, production and service management and logistics, information systems and quality, and as such is of interest to both researchers and practitioners. Reflecting the interconnected nature of today’s production systems, characterized by intense flows of goods, information and individuals between companies and nations, it is a valuable resource for anyone wanting an in-depth understanding of the field to guide managerial practice in order to take full advantage of existing opportunities.

Table of Contents

Erratum to: The Skateboard Manufacturing Company: A Teaching Case on Production Planning and Control
Marco Aurélio de Mesquita, Leonel José Girotti, João Vitor Tomotani

OR, Modelling and Simulation

A Simulation-Based Analysis of a Cork Transformation System

This paper describes the development of a simulation study for the analysis of an important part of a factory which refers to the transformation of cork into stoppers that are 100 % natural. The aim of the simulation model is to assess the productive flow through the analysis of performance indicators such as the lead time, the rate of utilization of the simulated resources, as well as the respective queues. After the detailed analysis of the system, a plan of action is devised with suggestions of improvements for implementing in the near future for addressing the main problems.

J. Teles, R. B. Lopes, A. L. Ramos
Using Overall Equipment Effectiveness (OEE) to Predict Shutdown Maintenance

This research proposes an approach to predict equipment condition using OEE performance metrics. Statistical tools are used to correlate measurements of OEE factors and maintenance history from a real database. The results suggesting that there is a correlation between the Time Between Stoppages and the trend degree of the Mean and/or the Standard Deviation (SD) of cycle time. This approach intended to help the predictions of shutdowns for maintenance.

Rolando Jacyr Kurscheidt Netto, Eduardo Alves Portela Santos, Eduardo de Freitas Rocha Loures, Rodrigo Pierezan
Forecasting Cloud Computing: Producing a Technological Profile

Migrating to cloud computing is one of the current enterprise challenges. In this sense, the small and medium enterprise should be the most interested, given that initial investments are avoided and the technology offers gradual implementation. However, 54.9 % of SMEs confess that they have no knowledge of cloud technology. Accordingly, this paper aims at generating a relevant profile of cloud computing technology, as the first part of a novel approach based on four families of technological forecasting methods to gather and structure information concerning an emerging technology, generating a relevant profile, identifying its past development, forecasting the short and medium-term evolution and integrating all of the elements graphically into a hybrid roadmap. The outcome of the approach will raise the awareness of such technology as well as facilitate its implementation.

Iñaki Bildosola, Rosa Rio-Bélver, Ernesto Cilleruelo, Javier Gavilanes
Modelling the Strategies Alignment Process in the Collaborative Network Context

A model to deal with the strategies alignment process, in the collaborative network (CN) context, is proposed. The main aim is to support the decision making of identifying which strategies to activate within the network in order to be aligned. This model provides a global view of all the strategies formulated in the CN, in order to identify those ones that have higher levels of alignment. The strategies alignment model is applied in an illustrative example.

Beatriz Andres, Raúl Poler
The Role of Complexity and Flexibility of the Instance in the Joint Solution Approach

Many pieces of research address the development of new algorithms and new solution techniques for decision-making; however, most of them do not consider the characteristics of instance in their analysis, such as the complexity and flexibility of the instance. Building a complex model, such as a joint model, requires a huge amount of time and effort while the resulting solution of such joint models may or may not be the best solution for all the actors involved in the process. Therefore, it is important to make an in-depth analysis of the instance before investing the time and effort to build a joint model. In this regard, this paper provides an instance evaluation procedure to help decision-makers decide whether to use joint decision or not for a particular instance.

Raul Pulido, Álvaro García-Sánchez, Alessandro Brun, Miguel Ortega-Mier
Towards Increasing Sustainability in Large Urban Mobility Attractors

Private-car based mobility typically constitutes the main option in the case of large urban mobility attractors, generating congestion and parking problems, as well as increased levels of emissions, related both to the displacement itself but also to the search for a parking space. We have analyzed the case of a large work-related mobility attractor and proposed specific policies aimed at increasing the sustainability of the mobility patterns, both environmentally and in terms of the livability of the area. The proposed policies are tested with a specifically built simulation model, enabling us to draw conclusions with respect to the applicability of the new system and its acceptance and “willingness to use” on the side of the general public.

Jesús Muñuzuri, Luis Onieva, José Guadix, Elena Barbadilla
Stock Market Firm Value Effects of Research and Development Expenditures in the Oil and Gas Industry

This paper evaluates the market firm value response to research and development (R&D) expenditures in the Oil and Gas Industry (O&G). R&D projects are seen as key to long term firm survival in the Oil and Gas industry. But the uncertainty associated with R&D success may reduce firm value market when a firm expands R&D. Using a panel of O&G firms traded in the New York Stock Exchange, we econometrically estimate the market value effect of R&D. We conclude that R&D expenditures increase firm market value, but with a one year lag, even after controlling for firm differences in book value or earnings and oil and gas reserves.

Eduardo Pontual Ribeiro, Willian Freitas de Almeida, Rosemarie Bröker Bone

Logistics, Production and Information Systems

A Decision Support Framework for Production Flow Coordination Using Supply Chain Management Practices, Ordering Systems and Modeling Techniques

One of the greatest challenges faced by companies is flow coordination in its supply chain (SC). For such coordination, it can be found in the literature and practice the use of modeling techniques, ordering systems (OS) and practices in supply chain management (SCM). These, however, are not jointly used for coordinated operations in SC, admitting then a theoretic gap to be explored. In that way, this work has the objective to present a decision support framework for production flow coordination by combining the use of those mechanisms. For the development of this framework, a literature review about methodologies in production flow coordination in SC was made. The developed framework has purpose to assist managers in the decision making process about the practices and systems that are more suitable for each situation, thus obtaining the best coordination in its supply chain. We highlight that the project is still in progress and the framework is in phase of evaluation.

Wagner de Barros Neto, Laisa Caroline de Paiva Gomes, Maico Roris Severino, Moacir Godinho Filho
A Greedy Primal-Dual Type Heuristic to Select an Inventory Control Policy

We propose a greedy primal-dual type heuristic to jointly optimize the selection of an inventory control policy and the allocation of shelf space in order to minimize the expected counting and replenishment costs, while accounting for space limitations. The problem is motivated by an application in the healthcare sector. It addresses the limitations in designing an inventory control system for hospitals stockrooms and the drawbacks of the common approach of using a single policy such as a two-bin Kanban or a Periodic Automatic Replenishment (PAR) system for all items. In the proposed approach, we not only choose policies to use available storage space more efficiently but also consider changing the policies or their parameters to use the space within a selected storage bin more efficiently. On numerical examples where a mathematical programming formulation can be solved in a reasonable amount of time, our experiments indicate that the proposed algorithm is very efficient.

Nazanin Esmaili, Bryan A. Norman, Jayant Rajgopal
A Model that Integrates Direct and Reverse Flows in Omnichannel Logistics Networks

A more complex logistics network has to be managed by retailers that also offer online sales, since new shipping and drop off options are offered to consumers in order to satisfy their expectations. The main goal of this paper is to propose a mixed integer linear programming (MILP) model that integrates forward and reverse material flows in a retailer’s omnichannel logistics network. The model proposed helps to determine the mix of orders and returns flows that minimizes costs, and also allows to quantify key trade offs associated to the different options offer in omnichannel models.

Javier Guerrero-Lorente, Eva Ponce-Cueto, Edgar E. Blanco
A Nonlinear Integer Programming Model for Warehousing Sustainable Logistics

The warehouse management problem is a critical issue in Operation Management. In modern competitive market, many firms are automating their basic warehouse activities in order to be cost effective. However, traditional mechanized warehousing systems (MWS) still represent the 75 % of the overall installations. In MWS, forklifts are adopted for the load handling. The adoption of efficient “internal logistic strategies” could help in reducing time required and costs of warehousing activities. In recent years, many firms adopted green supply chain practices (GSCP) in order to improve their environmental performances while also achieving economic goals (Wu et al. 2015). Furthermore, in planning Smart City logistics, warehousing in port or railway station storage areas is being receiving wide attention since they contribute effectively to a sustainable development of modern cities. Under this perspective, an optimal “internal logistic strategy” allowing to jointly minimizing jointly costs and environmental impacts of warehousing activities has to be adopted. The aim of this study is to develop a Nonlinear Integer Programming Model to solve a storage location assignment problem (SLAP) for optimizing the environmental performance of the internal logistic activities in a warehouse. Suitable storage strategies are identified on the basis of the type of the forklifts adopted (internal combustion or electric engine equipped) as well as the sizes and the weight of the loads to be handled.

Francesco Boenzi, Salvatore Digiesi, Francesco Facchini, Giorgio Mossa, Giovanni Mummolo
A Reference Framework to Design Inventory Policies Using a Fill Rate Criterion in Lost Sales Contexts

This paper suggests a reference framework to decide the best method to compute the base stock level in a lost sales and discrete demand context given a target fill rate. Under this context, only (Guijarro et al. in Eur J Oper Res 218(2):442–447, 2012a) propose an exact fill rate expression, but it requires a huge computational effort. However, the literature shows several approximations which are simpler and easier to implement in practical environments. In this paper, we design a large experiment and analyze by means of data mining techniques under which conditions approximate expressions can provide an accurate enough approximation to the base stock level for the lost sales case. As a result, we propose a reference framework that allows the selection of the most suitable method to compute the base stock depending on the characteristics of the item.

Eugenia Babiloni, Ester Guijarro, Manuel Cardós
Contribution of Lean Principles in the Information Systems Development: An Experience Based on a Practical Case

Due to the increasing mechanization of industry, resultant from the technological changes combined with human best practices, it is possible to produce keeps getting better at reduced costs. The need to reduce costs and increase the service level to achieve continuous improvement in internal processes derives, on the one hand, from the strong competitiveness, and on the other, on consumers increasingly informed and demanding, requesting reduced delivery times, lower prices and quality levels of excellence. Efficiently manage resources and processes, reduce errors and maximize productivity should be the strategic foundation for organizations become more competitive and effective. Through improved information management mechanisms it is possible to make processes more efficient on which is included the development process of Information Systems (IS). In this context, this project aims to demonstrate the gains associated with good information management, combined with the Lean Thinking (LT) methodology in order to produce adequate and quality products (i.e. IS) by reducing the resources, time and information without added value associated.

Joana Pereira, Leonor Teixeira
Data-Driven SKU Differentiation Framework for Supply Chain Management

Supply chains (SC) are a source of competitive advantage. However, managing SC’s is hard due to its size, dynamism, complexity and mostly, context dependency. To overcome such difficulties and better match SC practices with the context characteristics, the adoption of analytical methods is required. Exploiting the availability of operational data, a four stage data-driven SKU differentiation framework is proposed relying on exploratory factor analysis for the criteria selection and cluster analysis for the stock keeping unit (SKU) classification. The application of the framework is illustrated using a B2B instrumental case. Further research is required to validate the framework on other cases, as well as exploring alternative types of SC entities, e.g. clients or suppliers.

Alexander Kharlamov, Luís Miguel D. F. Ferreira, Janet Godsell
Deploying “Packaging Logistics” in Paper Napkins

In this paper, the potential of “packaging logistics” for improving efficiency and sustainability in the supply chain is presented from an applied point of view. After synthesizing the main conceptual issues of “Packaging Logistics”, the paper focuses on the analysis and improvement of a sample of 13 references of paper napkins.

Jesús García-Arca, A. Trinidad González-Portela Garrido, José Carlos Prado-Prado
Differentiation of the Difficulty Level of Supply Chain Management Integration Actions

Integration is a key factor to ensure alignment of actions throughout the supply chain, increasing the competitiveness of companies. However, to integrate upstream and downstream actions is quite a complex task that involves different levels of difficulty. Several studies have been developed to assess the supply chain management integration (SCMI), with different actions corresponding to integration among chain members; nevertheless, little has been discussed about the level of integration required for each activity. Thus, this research proposes an initial assessment of the differentiation of the difficulty level between the actions of SCMI, in order to facilitate the planning of these actions gradually and consistently, using the Item Response Theory (IRT). The selected SCMI actions were ranked according to the difficulty level for their implementation, allowing differentiating the simplest tasks to be performed from those that require a higher level of integration between partners.

Fernanda Arantes, Maria Leite, Antonio Cezar Bornia
Establishing a Link Between Lean Practices and Corporate Sustainability

In this paper we describe how the concept mapping methodology, which combines a qualitative case study approach—based on interviews, focus groups and plant visits—and quantitative methods—using a software and data-driven mapping methods—was used to answer the following question: can lean manufacturing contribute to a company environmental and social sustainability? The conclusions of the research are empirically analysed. As expected the impact of lean on productivity and process efficiency was identified but the results also demonstrate that it has a positive effect on business sustainability.

Cristóvão Silva, Paulo Vaz
Explaining Alliance Success Factors in Spanish Food and Beverage Supply Chain: Case Analysis

Over the last decades, partnerships have captured great interest of both academics and practitioners, being a form of business management that could help companies to achieve their strategic goals beyond the level they can reach acting as isolated entities. But even though authors have been working for many years on the applicability of the different theories that could explain alliance success, still nowadays some questions about why the alliance success rate is much lower than failures rate arise. In this study, developed from an in-depth analysis of cases in successful partnerships experiences within Spanish Food and Beverage industry, authors have tried to identify relevant factors that could provide additional explanations to those causes that can generate a remarkable higher success rate in certain companies. The aim would be to explore if these factors could provide clues to understand what drives alliance success that have not been sufficiently studied yet.

Jesús Morcillo Bellido, Alfonso Durán Heras
How to Design an Efficient and Sustainable Box?

Packaging is one of the transversal elements that supports an efficient and sustainable supply chain. However, there are few methods to objectively measure the impact of packaging design on this efficiency and sustainability. In this paper, a method for designing boxes is presented (ESB, “Efficient and Sustainable Box”). Going beyond proposing a theoretical method, the authors have testing it in a company following the “action research” approach.

Jesús García-Arca, A. T. González-Portela Garrido, J. A. Comesaña-Benavides, J. C. Prado-Prado
Interoperability Frameworks in Public Administration Domain: Focus on Enterprise Assessment

For over a decade, the advent of e-Government increased the need to address its typical scenario’s issues with a significant number of interoperability conceptual frameworks, considering aspects related to social, political and regional factors. However, such frameworks rely mostly on services and technological concerns, despite the existence of works in the literature that identify different perspectives in the Public Administration (PA) and governmental aspects of interoperability. In both approaches, the literature does not have a particular contribution relating PA domains with interoperability frameworks concerning the coherent definition of models, structured interoperability assessment (IA), concerns and barriers. This paper presents a correlation analysis of the existing frameworks, considering the elements related to PA and aspects associated to the observation and assessment of an organizational interoperability. This analysis can be used by decision makers as a tool for knowledge management concerning the prioritization and selection of attributes that best support the interoperability assessment in PA domain.

Alexandre da Costa Castro, José Marcelo Almeida Cestari, Eduardo Rocha Loures, Edson Pinheiro de Lima, Eduardo Alves Portela Santos
Main Factors Affecting the Development of Interorganizational Partnerships in Biodiesel Supply Chain in Brazil

Partnership in supply chain stands out for the need to coordinate the productive activity between different economic agents who often have conflicting goals. Thus, the aim of this paper is to analyse how the partnerships producer/supplier are developed in biodiesel supply chain, through the motivating and facilitating factors that affect this relationship. The methodological aspect involves a multiple case study conducted in three supply chains located in the South Region of Brazil, which have used semi-structured interviews. We involved in this investigation the three largest biodiesel producer plants in the South Region and the two most representative cooperatives in providing raw material for each one of the selected plants, totalling six cooperatives. We realized through the found motivating and facilitating factors that, despite the existing conflicts, both plants and cooperatives have shown the desire to renew the partnership over time.

Eliene Cristina Barros Ribeiro, António Carrizo Moreira, Luís Miguel Domingues Fernandes Ferreira, Leonardo Leocádio Coelho de Souza, Aldara da Silva César
Productivity Improvement, Considering Legal Conditions and Just in Time Principles in the Mixed-Model Sequencing Problem

In this work a new variant of the Mixed-Model Sequencing Problem with Work overload Minimization is formulated and evaluated. The new variant regularizes production, in addition to increase the amount of completed work through the workers’ activation at certain moments of their workday and to fulfill the conditions from collective agreements in terms of operating level of workers. Thus, we seek to reduce the inventory cost by the balance of the component consumptions and maximizing productivity by the reduction of non-completed work, within the legal field. We check is possible to improve both production regularity and productivity at once and without exceeding the operation level of workers, by means of a case study.

Joaquín Bautista-Valhondo, Rocío Alfaro-Pozo, Cristina Batalla-García
Proposal of a Framework for Assessing Environmental Performance of Supply Chains

Companies need to excel in many areas to achieve a competitive advantage. Supply Chain Management is critical for company’s overall performance, while its operations can lead to a significant impact on the environment. It is therefore crucial that organizations measure the environmental performance of their supply chains in order to define strategies that contribute to minimize the negative impact of their operations. This paper aims to suggest a framework for the assessment of environmental performance of an upstream supply chain integrating Analytic Hierarchy Process with a modified Balanced Scorecard.

C. Silva, L. M. D. F. Ferreira, S. G. Azevedo
Root Cause Identification of Existing Barriers Detected by People with Disabilities in Air Transport

EU legislation on air passenger rights try to ensure the right to free moving of people with disabilities and old persons. Despite of this, disabled people are not travelling as they could be due to existing barriers. In the European Union (EU) one in six people has some kind of disability that varies from mild to severe and due to the augmenting longevity and low levels of natality, population projections foresee that this percentage will increase in the next decades. Given the significance of the problem, research in the field has focused on identification of the barriers found by disabled air passengers so as to suggest solutions for those barriers. However, focusing on the causes that generate those barriers will generate better-suited solutions with higher effectiveness. This study analyzed existing barriers identified by disabled air passengers and applied the best methodology in order to identify root causes. Facing these root causes will contribute to a better human mobility in the Common European Space increasing welfare state and economic rewards in inclusive tourism.

I. Garcia-Miranda, A. Duran Heras
Spare Parts Inventory Management Using Quantitative and Qualitative Classification

This paper focuses on the spare parts inventory management of a maintenance provider of the health sector, where the commitment to ensure the agreed customer service level and the guarantee of maximum availability of the devices are relevant issues. Spare parts inventory management requires working with erratic and uncertain demand. As in the most cases, there is a high sporadic pattern in the demand characterized by low demand average rates, it is quite difficult to ensure that the right spare part is at the right place, at the right time and at the right quantity. This study determines an adequate inventory management policy for spare parts, specifically for unplanned maintenance operations taken into account the agreed customer service level. Considering that the criticality of a spare part has consequences regarding the availability of an equipment and service level agreement, the spare parts were classified in terms of quantity, value of usage and criticality. Based on this classification, differentiated service levels and inventory management policies were adopted for each group.

Fernanda Oliveira, Clara Bento Vaz
Sustainable Supply Chain Management: A Case Study
Implementation the Sustainability Tools in Supply Chain Management: A Case Study

The present paper aims to contribute to the development of the theory concerning the models of sustainable supply chain management. Argues that the development of a model of sustainable supply chain management, combined with a set of appropriate support tools at different levels of management (strategic and operational) will help organizations to develop integrated sustainability programs in the management of organizations. The development of a Case Study allowed sharing a set of support sustainability practices implemented in the Purchasing Process. This Case Study, combined with the Literature Review, allowed the construction of a framework for the Sustainable Supply Chain Management. The key feature differentiating of this framework its operational nature, by integrating a set of supporting sustainability practices.

Cláudia Silva, Joaquim Borges Gouveia
Transport KPIs for Supply Chain Improvement. A Literature Analysis

Through a content analysis since 1998–2014, this article analyzes the evolution of the transport indicators in the context of managing the supply chain. Finally a set of indicators is extracted from the articles. This set of indicators can be considered a basic “pack” of KPIs (Key performance Indicators), reflecting the common needs of organizations that require freight.

Pablo Domínguez-Caamaño, Jesús García-Arca, Arturo J. Fernandez-González, José Carlos Prado-Prado
Using Big Data for Competitive Dimensions Improvement in a Telco Company

This is a case study on how a telecommunications company is improving its competitive dimensions using Big Data. Even though the company were already using traditional data analytic tools, they are building Big Data systems to analyze larger amounts of data, in a faster and more efficient way. They are achieving improvements in some competitive dimensions, such as reducing operational costs, increase revenue through more accurate measurement of their service usage and improved quality of service delivered to customers.

Rafael Fernandes Novo, José Manoel Souza das Neves
Reduction of Drying Process Time of Natural Cork Stoppers Process in Lean Improvement Efforts

Cork is a material with a significant economic, social and environmental impact. Due to its characteristic properties, this material exhibits a diversified applicability, incorporating several economic sectors. Among these, the natural cork stoppers industry reveals the greatest potential, being its production higher than 50 % of the total cork products. This work is encompassed in the Pilot Case IV of the FOCUS (Advances in Forestry Control and aUtomation Systems in Europe) project. The aim is to develop lean improvement suggestions for the cork-stoppers value stream which if implemented could lead to shorter production lead time and increased efficiency. The lean method of Value Stream Mapping (VSM) was used, since this provides an overview of the entire production process, rather than having process-specific focus, and offers a systematic way of finding the sources of problems and solving them. Based on this, it will be possible to propose and develop solutions, to improve or reformulate the necessary processes, in order to make the production line more efficient. Through the developed VSM and analysis of thermal images was identified as critical the cork stoppers drying process. A conceptual proposal of a new drying machine is also presented.

Tatiana M. Pinho, Daniel Campos, J. Boaventura-Cunha, Américo Azevedo, A. Paulo Moreira
Waste Types in People Processing Services

The globalization needs and the increased competition between all types of companies put an increased focus on service improvement. Services are mostly customized, intangible, knowledge-based, and one type of services, called here as People Processing Services (PPS), can have the direct participation of customers both as object being processed and as a co-producer. These characteristics of PPS make it difficult to standardize processes, which contribute for generating non-value added activities, classified as wastes in the Lean Thinking knowledge area. This work aims to contribute to the waste classification, proposing a clarification for the types of waste associated with People Processing Services, and further applying this classification to a particular PPS case, the Hip Surgery Production Process of a Portuguese Public Hospital. It was observed that a large number of activities do not add value to the service and waiting is the most common waste.

José Dinis-Carvalho, Rui M. Lima, Andromeda Menezes, Marlene Amorim

Quality and Management in Engineering Systems and Networks

Characterising Knowledge Workers’ Job Positions

This research proposes a model for identifying job positions that correspond to professional knowledge workers profile. To this end, the job positions are classified according to three variables: the extent to which the activity is dematerialised (working with atoms or bits), the flexibility allowed by the tasks for managing time and location, and the level of complexity of the knowledge associated with the job. Some studies suggest that the always-on model associated with ICTs can disperse attention, lead to a drop in productivity and increase stress. This categorization of knowledge positions is useful for studying productivity as it enables, according to job profile, to differentiate the measures for improvement productivity. The objective of this work is to apply the model and test its usefulness for characterizing net profile job positions. To test the validity of the model, this research presents case studies of companies with knowledge workers in which the proposed variables are studied, together with the way the work is organized and the techniques used to allocate times.

Ana Moreno-Romero, Eva Ponce-Cueto, Ruth Carrasco-Gallego
Information Quality in Companies Committed to TQM

In the turbulent global environment in which organizations now compete, having reliable, accurate and readily available information is a key factor. Information is a strategic company resource. To the extent that TQM is an information-intensive management model, it is not unreasonable to assume that companies committed to TQM models should be efficient when managing information. This study has two main objectives. First, we aim to explore whether the information managed by companies committed to TQM models (in particular a quality management system based on the ISO 9000 international quality standards series) meets the dimensions required for information quality. Second, we aim to explore how information quality dimensions influence information consumers’ overall feeling of being well informed in those companies. Using a quantitative approach, we used a questionnaire survey to capture the perceptions of managers in companies committed to a quality management system based on the ISO 9000 international quality standards series with respect to the information they managed. More specifically we applied a nonparametric test and performed a multiple regression analysis to address the objectives of the study. The analysis shows evidence that the information managed already meets many dimensions of information quality among the companies analysed.

Marta Zárraga-Rodríguez, Manuel Francisco Suárez-Barraza, M. Jesús Álvarez, Elisabeth Viles, Carmen Jaca
Performance Measurement Systems for Designing and Managing Interoperability Performance Measures: A Literature Analysis

In a globalized and networked market, organizational interoperability has a major role, defining how companies rethink their organizational processes to assess the collaboration and cooperation level their partner companies exert over their productive processes. Classical approaches on Enterprise Interoperability Assessment (EIA) do not identify (clearly) structural elements regarding the composition of their performance measures. Not all frameworks assess a set of specific measures for their respective models regarding the interoperability perspectives and also the organizational performance. The Performance Measurement Systems (PMS) have reached a higher level and maturity, and the implementation of such recommendations in EIA measurement systems may contribute to a better qualification, foreseeability, and standardization of the measures’ composition. The objective of this paper is propose a PMS-based model, in which a set of recommendations, applied to the EIA, enables the superqualification of these performance measures, contributing to a better relationship with the business layers and maintaining the original structures prescribed in the EIA literature.

Alexandre da Costa Castro, José Marcelo Almeida Cestari, Eduardo Rocha Loures, Edson Pinheiro de Lima, Eduardo Alves Portela Santos
Systematic Analysis of Economic Viability with Stochastic Approach: A Proposal for Investment

This paper aims to expand a Systematic for the Analysis of the Economic Viability of Investment Projects (SAEVIP) proposed by Lima et al. (Joint conference CIO-ICIEOM-IIIE 2014—XX international conference on industrial engineering and operations management 2014, p. 87, 2014), (Int J Eng Manage Econ, 2015) using methods of Engineering Economics. The SAEVIP received the “Research Award 2014” of the joint conference CIO-ICIEOM-IIIE. For this purpose, adopts a stochastic treatment on principal variables that affect the expected economic performance of an investment project. The method of Monte Carlo simulation along with some distributions of probabilities, such as: uniform, triangular and normal are used to achieve the proposed objective. An example is used to illustrate the use of this approach in SAEVIP. The results extend the quality and reliability of the information generated and better substantiate the decision-making process on investment in fixed assets.

José Donizetti de Lima, Marcelo Gonçalves Trentin, Gilson Adamczuk Oliveira, Dayse Regina Batistus, Dalmarino Setti
Thermal Comfort Field Study Based on Adaptive Comfort Theory in Non-residential Buildings

Indoor comfort has changed over the last years. Firstly, the key was the Indoor Air Quality (IAQ) inside a building but lately it shift away from IAQ towards greater expectations related to overall subjects’ comfort. However, there should be a consistent and well-balanced relation between comfort and energy consumption due to the results on the environment, especially on climate change. This paper exposes a methodology to develop a field study in a non-residential building, based on adaptive comfort theory, which take into account the above desirable objectives.

Elena Barbadilla, José Guadix, Pablo Aparicio, Pablo Cortés

Education in Engineering Systems and Networks

Agents Playing the Beer Distribution Game: Solving the Dilemma Through the Drum-Buffer-Rope Methodology

The Beer Distribution Game (BDG) is a widely used experiential learning simulation game aimed at teaching the basic concepts around Supply Chain Management (SCM). The goal in this problem is to minimize inventory costs while avoiding stock-outs –hence the players face the dilemma between storage and shortage. Human players usually get confused giving rise to significant inefficiencies in the supply chain, such as the Bullwhip Effect. This research paper shows how artificial agents are capable of playing the BDG effectively. In order to solve the dilemma, we have integrated supply chain processes (i.e. a collaborative functioning) through the Drum-Buffer-Rope (DBR) methodology. This technique, from Goldratt’s Theory of Constraints (TOC), is based on bottleneck management. In comparison to traditional alternatives, results bring evidence of the great advantages induced in the BDG by the systems thinking. Both the agent-based approach and the BDG exercise have proved to be very effective in illustrating managers the underlying structure of supply chain phenomenon.

José Costas, Borja Ponte, David de la Fuente, Jesús Lozano, José Parreño
Organizational Engineering: The Emerging Stage of Industrial Engineering

Industrial Engineering (IE) has experienced a remarkable development since its inception in the early years of the past century. From the perspective of the present problematic situation of the world, including people and planet, a new space of opportunities opens to IE research and professional activities. In this respect, this paper reviews the two main previous stages of IE and proposes a characterization of its emergent current stage. The resulting IE concept is an extended one, which is proposed to be identified as Organizational Engineering.

Javier Carrasco, Carlos Mataix, Ruth Carrasco-Gallego
Perception of the Evolution of Industrial Engineering Areas Based on the Brazilian ENADE-INEP Assessment System

Due to increased competitiveness, Brazilian industry, in general, deal with constant factory changes and with the insertion of new models to plan, schedule and control production. All these aspects together make them to face a new challenge: the lack of skilled manpower at all hierarchical levels. For Engineering, especially at Industrial Engineering, the professional profile changes continuously and then, the engineering education in universities has the necessity to reinvent themselves the whole time to meet market demands. Thus, evaluation methods shall be deployed to quantify and provide information that help in analysis of vocational training of the 21st century Engineer. Therefore, the purpose of this paper is to analyze the evolution of Industrial Engineering areas based on the Brazilian ENADE-INEP assessment system applied on 2005, 2008, 2011 and 2014, presenting a diagnosis of the knowledge areas along these years. From the results it is possible the perception of a trend to equality the areas on examination, besides the possibility of an interdisciplinary approach of the questions.

Eduardo Guilherme Satolo, Renato Luis Garrido Monaro, Milton Vieira Junior, Daniel Luis Garrido Monaro
The Skateboard Manufacturing Company: A Teaching Case on Production Planning and Control

In manufacturing companies, it is possible to identify different production environments, each suited to a given production strategy. The capability of future managers to deal with these differences is critical and education should provide them a broad and critical view of possible planning models and methods. The aim of this paper is to present a teaching case that enables students to differentiate between two main approaches in the context of production scheduling, namely: MRP and APS. The teaching case was applied in a course of Production Planning and Control in an undergraduate degree in Production Engineering in Brazil. In its current version, the case comprises of five stages, covering the topics of demand forecasting, master scheduling, material requirements planning, finite capacity scheduling, and systems integration. A survey was conducted to evaluate the effectiveness of the teaching plan. The results indicate that students gain a better understanding of the differences between the approaches and now the skateboard factory case is an integral part of the course. Future applications will help to improve and expand the case, including new features related to the discipline contents.

Marco Aurélio de Mesquita, Leonel José Girotti, João Vitor Tomotani
Engineering Systems and Networks
Marlene Amorim
Carlos Ferreira
Milton Vieira Junior
Carlos Prado
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