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2018 | Book

Industrial Engineering in the Industry 4.0 Era

Selected papers from the Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2017, July 20–21, Vienna, Austria

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About this book

This book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held in Vienna on July 20-21, 2017. They offer a snapshot of the current state of the art in three main related fields of research, namely industrial engineering, engineering and technology management, and healthcare systems engineering management. The book is intended to integrate theory and practice and to merge different perspectives, from the academic to the industrial and governmental one.

Table of Contents

Frontmatter

Industrial Engineering

Frontmatter
A Note on Fuzzy Multiattribute Grey Related Analysis Using DEA
Abstract
Wu and Olson (2010) applied data envelopment analysis (DEA) in a grey-related fuzzy methodology to derive attribute weights that are most favorable for each alternative. However, their model may not reflect the desired degree of discrimination between alternatives for unlikely weight combinations. In this paper, we propose an extended version of their model by using two sets of weights that are most favorable and least favorable for each alternative. An illustrated example of a nuclear waste dump site selection is used to highlight the usefulness of the proposed “extended model”.
Mohammad Sadegh Pakkar
Storage and Retrieval Machine with Elevated Track Opens New Applications in Warehouse Technology and Material Supply
Abstract
An innovative Storage and Retrieval (S/R-) machine can drive around obstacles like conveyor lines or escape routes in the upper and lower part of a warehouses shelf. This innovative S/R machine can also drive around a second S/R machine in its warehouses aisle, so that one or two of these machines can operate independently in one aisle. These improvements open new applications in warehouse planning, management and production:
  • The dimensions of the warehouse (height, length width) can be easier adjusted to the existing building development and building regulations.
  • The handling capacity can be upgraded aisle by aisle, which allows to scale the handling capacity to the increasing demand.
  • The warehouse can be integrated in the manufacturing or assembly area and integrates in house transport into storage.
These improvements enhance storage capacity, save space and expand handling capacity, thus saving investment and cost compared to conventional warehouse technology.
Reinhard Koether
Nurse Scheduling with Shift Preferences in a Surgical Suite Using Goal Programming
Abstract
Nurse scheduling is a crucial part of hospital personnel scheduling. For effective nurse scheduling, fair workload and job satisfaction should be taken into account, as these factors affect the quality of service in healthcare. In this study, monthly nurse scheduling constraints for a surgical suite are determined according to government regulations, hospital management requirements, and nurse preferences. A multi-objective integer program with hard and soft constraints is formulated and solved as a goal programming model to produce an optimal nurse schedule which provides fair workload and satisfies shift preferences of nurses. Our goal is improving job satisfaction of nurses as well as reducing medical errors caused by fatigue, a result of disproportional shift assignment. Resulting schedules for various shift preference scenarios are compared to show the improvement in the schedule quality in terms of performance measures such as distribution of preference violations among nurses.
Esra Agca Aktunc, Elif Tekin
Implementing EWMA Yield Index for Product Acceptance Determination in Autocorrelation Between Linear Profiles
Abstract
In this manuscript, a new sampling plan based on the exponentially weighted moving average (EWMA) yield index for lot sentencing for autocorrelation between linear profiles is proposed. The advantage of the EWMA statistic is the accumulation of quality history from previous lots. In addition, the number of profiles required for lot sentencing is more economical than the traditional single sampling plan. As the value of the smoothing parameter is equal to one, the sampling plan based on the EWMA statistic becomes a traditional single sampling plan. Considering the acceptable quality level at the producer’s risk and the lot tolerance percent defective at the consumer’s risk, the plan parameters are determined. The plan parameters are tabulated for various combinations of the smoothing constant of the EWMA statistic and the acceptable quality level and lot tolerance proportion defective at the producer’s risk and the consumer’s risk respectively.
Yeneneh Tamirat
Evaluating Airline Network Robustness Using Relative Total Cost Indices
Abstract
This research to the best of our knowledge is the first paper to quantify airline network robustness in the presence reversible capacity of legs and alternative flights. In this study, we try to recognize the critical legs via changing the functional capacity of flights. Besides, we attempt to gauge the behavior of the flight network via shifting of leg capacities proposing a new leg cost function. In addition, we indicate how to capture the robustness of airline network in the case of variable flight capacities. Relative Total Cost Indices have been used to assess air network robustness in the case of behavior associated with both User-Optimization and System-Optimization. In this article from the different point of view, the variability of passenger’s route preferences is the main subject. This paper may shed light on the robustness of networks in real life not only for the particular case of airlines but also for systems sharing similar topological properties. The paper presents a numerical case study with real data from an airline in Turkey for illustration purposes.
Peiman Alipour Sarvari, Fethi Calisir
A Two-Phase Optimization Approach for Reducing the Size of the Cutting Problem in the Box-Production Industry: A Case Study
Abstract
In this study, the cutting problem as one of the main problems within the box-production industries is discussed. The cutting problem refers to the problem of dividing a piece of rectangular raw material, which is usually large, into smaller pieces to produce various products. Cutting problems are NP-hard problems. Numerous researches offering good solutions to these problems have been conducted over the past few years. In the present study, considering the complexity of the problem, a model reflecting the nature of the problem is proposed and a new two-phase solution approach is suggested. Utilizing the proposed method significantly reduces the size of the problem and simplifies the applicability of the solution approach in real life. Furthermore, to evaluate the efficiency and utilization of the proposed method, its application in a specific company is tested. Finally, the performance of the method is calculated and its use is compared with the company’s traditional method.
Sam Mosallaeipour, Ramtin Nazerian, Mazyar Ghadirinejad
Physical Discomfort Experienced in Traditional Education and Tablet-Assisted Education: A Comparative Literature Analysis
Abstract
With advances in technology, various forms of computers have become more involved in education. In particular, tablet computers are actively used for educational purposes nowadays. Given the fact that musculoskeletal, postural, and ocular developments of children and adolescents are still not complete, potential physical issues resulting from usage of new technologies must not be disregarded. Physical problems or challenges experienced by children and adolescent students will be involved in this research from the perspectives of traditional education and tablet-assisted education. In a sense, a comparative review of the available literature is used in the study to analyze and identify the commonalities and differences in physical problems experienced by students.
Banu Numan Uyal, Elif Binboga Yel, Orhan Korhan
Future Research and Suggestions Based on Maritime Inventory Routing Problem
Abstract
The problem of the distribution of containers by ships and keeping the inventory levels within specified bounds at ports in a marine system is called the maritime inventory routing problem. The problem has been studied by both academics and practitioners. However, there are insufficient studies concerning environmental issues and ship compartment capacities. In this study, an extensive literature survey focusing on these issues is summarized and analyzed and the gaps in the field are identified. Besides, future trends, opportunities, and suggestions are presented.
Elifcan Gocmen, Ebru Yilmaz
Lean Transformation Integrated with Industry 4.0 Implementation Methodology
Abstract
Succeeding a cultural and people-oriented transformation, lean producers adopt the philosophy of doing more with less by eliminating non-value-added activities from production processes to maintain effectiveness, flexibility, and profitability. In the context of Industry 4.0, new solutions are available for combining automation technology with lean production. Moreover, when effective usage of resources (finance, labor, material, machine/equipment) is concerned, it is obvious that Industry 4.0 should be applied to lean processes. In this context, this paper attempts to emphasize the interaction between lean production and Industry 4.0 and proposes a methodology that provides guidance for Industry 4.0 in a lean production environment. Moreover, Industry 4.0 technologies and automation-oriented lean production applications are also included.
Sule Satoglu, Alp Ustundag, Emre Cevikcan, Mehmet Bulent Durmusoglu
Selecting the Best Strategy for Industry 4.0 Applications with a Case Study
Abstract
In this paper, we try to find the best strategy for Industry 4.0 implementation. For this aim, we determine the aggregated strategies for applying this concept and criteria that are used to select the best strategy. With the criteria set out in this context, basic strategies should be applied as a priority, considering for example human resources, work organization and design, information systems, and effective use of resources, and the development of new business models and standardization are specified. Since this selection is a process in which many different measures need to be considered, multi-criteria decision-making (MCDM) methods based on AHP-VIKOR methodologies have been applied to find the best strategy. Fuzzy set theory was beneficial for coping with uncertainties in the selection process.
Melike Erdogan, Betul Ozkan, Ali Karasan, Ihsan Kaya
Musculoskeletal Discomfort Experienced by Children and Adolescents During the Use of ICT: A Statistical Analysis of Exposure Periods and Purposes
Abstract
The risk of development of musculoskeletal discomfort problems among children and adolescents is high as the development of their musculoskeletal system is still continuing. Therefore, it is very important to learn the habits and attitudes of children and adolescents, the location and duration of the use of these technologies, and the relationship between musculoskeletal discomforts. This study aims to investigate the relationship between duration of daily exposure of children and adolescents to Information and Communication Technology (ICT) devices and the musculoskeletal discomfort experienced. A two-part questionnaire, which are adopted by Dutch Musculoskeletal Discomfort Questionnaire (DMQ) and the Student Specific Cornell Musculoskeletal Discomfort Questionnaire (SS-CMDQ), was used to gather data from children and adolescents in public and private secondary and high schools in Northern Cyprus. The survey findings showed that the participants experienced discomfort mostly in the neck, upper back, lower back, and shoulders. The correlation analysis indicated that there is a relationship between prolonged use of ICT devices for many hours and musculoskeletal discomfort. Also, it was found that there is a significant relationship between daily use of desktop, laptop, or tablet computers for different purposes (activities) and musculoskeletal discomfort. The musculoskeletal discomfort was observed to occur mostly due to the use of ICT devices for communication, surfing the Internet, reading, and writing. The results of the analysis showed that shoulder, upper back, upper arm, forearm, and hand muscles are affected by the use of ICT devices.
Banu Numan Uyal, Elif Binboga Yel, Orhan Korhan
A Closed-Loop Reverse Supply Chain Network Design for Waste Electrical and Electronic Equipment
Abstract
Nowadays, firms are choosing strategies that increase their economic performance as well as their competitiveness in the field of social responsibility. Interest in the effective reuse of resources and/or manufactured products continues to increase in all companies as a result of global climatic changes, population growth, rapid urbanization, and the reduction of natural resources. This study proposes a sustainable multi-period reverse logistics network design to minimize the waste of electric and electrical equipment, which is the one of the most crucial sectors in terms of waste management. This study contributes to filling the gap in the literature on mathematical closed-loop reverse logistics network design by including multi-product, multi-objective, and multi-period parameters in the model for all three dimensions of sustainability for decision making. The proposed model is optimized with mixed integer linear programming. It is applied to a sample data set and sensitivity analysis is done with crucial decision variables to reveal the model limitations. The study ends by presenting the future directions, giving some helpful recommendations for other researchers on this topic.
Gokhan Aldemir, Hur Bersam Bolat
Analyzing the Recycling Operations Data of the White Appliances Industry in the Turkish Market
Abstract
There is legislation that makes manufacturers responsible for incorporating recycling of waste electric and electronic equipment (WEEE). The white appliances industry is one of these sectors and in many countries, particularly those that are members of the European Union, there are regulations to guarantee the recycling of white appliances. This paper aims to investigate the data analysis of the white appliances industry in terms of reverse logistics operations. The most important usage and logistics operation data of a white appliances manufacturer are identified and evaluated by using data-mining methods. Important factors for types of white appliances are analyzed with respect to the lifespans of products, regional data, transaction times, campaign period, and choice of new products. A neural network is applied for prediction importance and ANOVA and Pearson correlation tests for region, lifespan, and brand of new product data are performed using SPSS. The results demonstrated that customers are prone to buying the same brand when they are delivering waste white appliances. Besides analysis of the campaign time, important inferences for strategic planning could be drawn from the lifespan and regional data.
Alperen Bal, Peiman Alipour Sarvari, Sule Itir Satoglu
Application of Q-R Policy for Non-smooth Demand in the Aviation Industry
Abstract
In the aviation industry, maintenance and inventory holding costs of spare parts give managers an opportunity to decrease their operational costs. Therefore, highly accurate demand forecasting is an indispensable entity in spare-parts inventory management. In the literature, traditional demand forecasting methods and measures are insufficient due to the variability of demand quantity and the uncertainty of demand occurrence times. When comparing the demand forecasting methods, MAPE and RMSE measures are usually preferred and these methods often give misleading results when inventory cost minimization is considered. In this paper, a cost-based performance measure and a newly generated joint performance measure, GMEIC, are employed to compare the traditional forecasting methods with the methods generated for non-smooth demand. The methodology applied in this paper consists of data classification, parameter tuning, and ordering decisions based on (Q, R) inventory policy and inventory cost evaluations. In order to measure the performances of the employed forecasting methods for non-smooth demand data, 632 different items were selected from the inventory of Turkish Airlines Technic MRO. It was observed that traditional forecasting methods did not perform better than the forecasting methods developed for non-smooth demand data when the inventory costs were taken into account as the performance measure.
Merve Sahin, Fahrettin Eldemir
A Closed-Loop Sustainable Supply Chain Network Design with System Dynamics for Waste Electrical and Electronic Equipment
Abstract
Supply chain management covers the management of all activities starting from the supply of the raw material to the delivery of the final product to the end user. In the rapidly evolving and globalizing world, limited resources and increasing competitiveness are pushing both nations and organizations to make a difference in the context of supply chain management. The importance of the concept of the sustainability has become more widely recognized among nations and organizations recently. Recovery options are considered to be an economic gain by many companies. Moreover, pricing is no longer a unique competitive strategy since customers give today value and prefer environmentally friendly products. In other words, recovery options are considered by manufacturers due to customer demand, regulations, and economic return. This study puts forward a sustainable supply chain network design with a system dynamics model to minimize the waste of electric and electrical equipment, which is the one of the most crucial sectors in terms of waste management. This study contributes to filling the gap in the literature concerning the mathematical closed-loop reverse supply chain network design model from a system dynamics perspective rather than by using deterministic and static models proposed in the literature. The proposed model is visualized with the program AnyLogic. It constitutes a general framework with crucial variables of electrical and electric equipment supply chains. The results show the states of these variables by year, which can provide a decision-support system for policy making. The study ends by suggesting future directions and giving some helpful recommendations for other researchers on this topic.
Gokhan Aldemir, Tugce Beldek, Dilay Celebi

Engineering and Technology Management

Frontmatter
The Relationships Among the Prominent Indices: HDI-GII-GCI
Abstract
Several global indices have been used to classify and to analyze the states of countries. Comparison can be performed not only based on country but also annually for each country. In this study, three prominent indices, the Global Competitiveness Index (GCI), the Global Innovation Index (GII) and the Human Development Index (HDI) were investigated to examine the relationships between them by employing the PLS-SEM method. According to the results, HDI has an influence on GII while GCI is affected by GII. The results also demonstrated that GII has a full mediating effect on the relationship between HDI and GCI. Moreover, findings indicated that countries should improve their innovativeness by taking human capital into consideration to gain competitive advantages.
Basak Cetinguc, Eyup Calik, Lutfihak Alpkan, Fethi Calisir
The Influence of the Strategic Planning Approach on the Research Agenda of R&D Organizations
Abstract
Strategic planning in a research and development (R&D) organization requires a different approach in analyzing and designing research programs and projects, because of the specificity of its objectives and activities. Therefore, deploying a traditional business strategic planning approach might not meet all of the organizational goals. The objective of this paper is to demonstrate how the strategic portfolio analysis using simple tools can be used to translate the strategy and influence the research agenda of an R&D organization. Kuwait Institute for Scientific Research (KISR) has developed a general and simple portfolio model that can enable organizations, in particular, R&D organizations to develop manageable research agenda that meet the strategic objectives of the organization. KISR was used as a case study enterprise to demonstrate this phenomenon and accordingly develop a practical model.
Husam Arman
Effect of Organizational Justice on Job Satisfaction
Abstract
The purpose of this study is to measure effect of organizational justice concept on job satisfaction of individuals. The concepts of “organizational justice” and “job satisfaction” have very important places for organizations in reaching to their objectives. Job satisfaction levels of employees are affected either positively or negatively due to their perceptions on organizational justice regarding practices in their organizations and how fairly they are treated. Employees whose job satisfaction levels are affected positively are motivated by their work and add value to their organization. The concepts of organizational justice and job satisfaction become even more important when strategic importance of human resources is taken into account in a competitive business environment. This study consists of two parts. In the theoretical part of the study, organizational justice and job satisfaction concepts are explained in detail together with their dimensions. While the concept of organizational justice was considered as the independent variable in the study, the concept of job satisfaction was considered as the dependent variable. Afterwards, the research model was formulated and implementation part of the study was introduced. This study was carried out with the participation of 165 people working in various sectors in Turkey. Throughout the study, survey technique, one of the data collection techniques, was used. Findings of the study showed that organizational justice affected job satisfaction of the individuals positively.
Aylin Ozel, Cahit Ali Bayraktar
Importance of Developing a Decision Support System for Diagnosis of Glaucoma
Abstract
Glaucoma is a condition of irreversible blindness, but early diagnosis and appropriate interventions can enable patients to see for a longer time. This addresses the importance of developing a decision-support system for glaucoma diagnosis. Glaucoma occurs when pressure happens around the eyes, which causes damage to the optic nerves and deterioration of vision. There are different levels of glaucoma disease including blindness. Diagnosis at an early stage allows a chance for therapies that slows the progression of the disease. By using Optical Coherence Tomography (OCT) images and pattern recognition systems, it is possible to develop a support system for doctors to make decisions on glaucoma. Thus, in this recent study we develop an evaluation and support system for the use of doctors. Computer software based on a pattern recognition system would help doctors to carry out objective evaluations for their patients. It is intended that after carrying out the development and evaluation processes of the software, the system will serve for use by doctors in different hospitals.
Murat Durucu
Determinants of Mobile Banking Use: An Extended TAM with Perceived Risk, Mobility Access, Compatibility, Perceived Self-efficacy and Subjective Norms
Abstract
Due to recent technological developments in mobile applications, the use of mobile banking is becoming increasingly widespread. On the other hand, when the investment costs are taken into consideration, the desired level of utilization has not yet been achieved. This study extends Technology Acceptance Model (TAM) with the factors perceived risk, mobility access, compatibility, perceived self-efficacy and subjective norms in order to understand mobile banking use. A survey is conducted in Turkey and 225 questionnaires are collected. A stepwise multiple regression analyses are performed to reveal the determinants of behavioral intention to use, perceived usefulness and perceived ease of use. The results of the study indicate that perceived usefulness, perceived ease of use and perceived risk have significant effects on behavioral intention to use mobile banking. Furthermore, mobility access and perceived ease of use are the most significant determinants of perceived usefulness. In addition, compatibility is the most significant factor for perceived ease of use.
Cigdem Altin Gumussoy, Aycan Kaya, Erhan Ozlu
Radiologists’ Perspective on the Importance of Factors for MRI System Selection
Abstract
Revealing user needs, which are usually dependent on qualitative methods, is a fundamental stage for medical technology selection and purchasing. The aim of this study is to determine weights of factors affecting magnetic resonance imaging (MRI) system selection from the radiologists’ perspective. In order to solve the problem, an analytic hierarchy process (AHP)-based model is used. Factors that affect the MRI system selection from radiologists’ point of view include five main criteria and 19 sub-criteria that are indicated by experts. An online questionnaire containing demographic questions enables each expert to compare the relative priority of criteria with all the other criteria. According to the analysis of 39 experts (i.e., radiologists), brand- and patient comfort-related factors are the two most important factors affecting the MRI system selection. A real-world application is conducted to illustrate the utilization of the model. AHP contributes to developing an analytic and comprehensive framework of decision making. The method should be considered by practitioners involved in decisions about new medical systems.
Gulsah Hancerliogullari, Cuneyt Calisir, Murat Durucu, Fethi Calisir

Healthcare Systems Engineering and Management

Frontmatter
Relation of Grip Style to the Onset of Elbow Pain in Tennis Players
Abstract
The gradual onset of pain over the region of the lateral epicondyle can result in the Tennis Elbow condition that affects a significant number of people whose activities involve repetitive wrist movements. This study is the first effort so far to propose an experimental design based research to investigate the effects of different backhand grips of tennis players regarding the onset of elbow pain. A sample population of tennis players is selected for implementing various tests using the same test measurements and evaluation conditions. Non-parametric variance analysis techniques fulfil the hypothesis test and derive inferential statistics of the research. The clear and significant differences among the evaluated grips prove that using a two-handed backhand style for backhand strokes is safer than other common grip styles.
Peiman Alipour Sarvari, Fethi Calisir, Selim Zaim
Application of Lean Principles in Hospitals: A Process Design in an Emergency Department
Abstract
This study aims to apply lean thinking to the Emergency Department of Kocaeli University Education and Research Hospital. From analyzing to designing the improved system, lean techniques are adopted in order to reduce waste compared to the current system and to make the process continuous. Although lean defines wastes in the process, it does not indicate which wastes should be eliminated primarily. At this point, Arena simulation software program is used. To compare the current and simulated systems, the length of stay of patients in the Emergency Department is selected as the main quality measurement. According to Arena outcomes, the main bottlenecks are identified and then suggested improvements are implemented in the newly designed system with lean approaches. To determine the effects of the improvement, Arena is run again to see whether or not there is a significant difference. Taking into account these considerations, the Arena simulation program helped the application of lean tools in redesigning the Emergency Department process.
Hatice Camgoz Akdag, Cansu Ozge Kaya, Gizem Savuran, Nuh Zafer Canturk
Metadata
Title
Industrial Engineering in the Industry 4.0 Era
Editors
Fethi Calisir
Hatice Camgoz Akdag
Copyright Year
2018
Electronic ISBN
978-3-319-71225-3
Print ISBN
978-3-319-71224-6
DOI
https://doi.org/10.1007/978-3-319-71225-3