Skip to main content

2014 | OriginalPaper | Buchkapitel

A Systematic Approach to Analyze the Information in Supply Chain Collaboration: A Conceptual Framework

verfasst von : Usha Ramanathan

Erschienen in: Supply Chain Strategies, Issues and Models

Verlag: Springer London

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In recent competitive business scenario, many supply chain players act together to perform well to earn profit. In this attempt, several supply chain (SC) informations are being exchanged under collaborative framework. Some information will be used for planning, production, replenishment, and forecasting; while the other information will just overload the system. Hence, it is obligatory for supply chain players to know the value of each piece of information for its role in the supply chain processes. In this chapter, first we try to model the SC information and then validate the information so as to use in the SC processes. In this approach, we suggest a framework to list and evaluate SC information. We also attach quality attributes to each of the information listed. On identifying the important information and related quality attributes, managers can decide including the information in the SC processes. This approach can help the managerial decision making in two ways—managers can identify the important information based on its attached quality attributes and can revisit the supply chain collaboration for further information need.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Ali, Ö. G., Sayın, S., Woensel, T. V., & Fransoo, J. (2009). SKU demand forecasting in the presence of promotions. Expert Systems with Applications, 36, 12340–12348. Ali, Ö. G., Sayın, S., Woensel, T. V., & Fransoo, J. (2009). SKU demand forecasting in the presence of promotions. Expert Systems with Applications, 36, 12340–12348.
Zurück zum Zitat Arshinder, A. A., & Deshmukh, S. G. (2008). Supply chain coordination: Perspectives, empirical studies and research directions. International Journal of Production Economics, 115, 316–335. Arshinder, A. A., & Deshmukh, S. G. (2008). Supply chain coordination: Perspectives, empirical studies and research directions. International Journal of Production Economics, 115, 316–335.
Zurück zum Zitat Aviv, Y. (2001). The effect of collaborative forecasting on supply chain performance. Management Science, 47(10), 1326–1343.CrossRefMATH Aviv, Y. (2001). The effect of collaborative forecasting on supply chain performance. Management Science, 47(10), 1326–1343.CrossRefMATH
Zurück zum Zitat Aviv, Y. (2002). Gaining benefits from joint forecasting and replenishment process: The case of auto-correlated demand. Manufacturing & Service Operations Management, 4(1), 55–74.CrossRef Aviv, Y. (2002). Gaining benefits from joint forecasting and replenishment process: The case of auto-correlated demand. Manufacturing & Service Operations Management, 4(1), 55–74.CrossRef
Zurück zum Zitat Aviv, Y. (2007). On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Management Science, 53(5), 777–794.CrossRefMATH Aviv, Y. (2007). On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Management Science, 53(5), 777–794.CrossRefMATH
Zurück zum Zitat Barratt, M., & Oliveira, A. (2001). Exploring the experiences of collaborative planning initiatives. International Journal of Physical Distribution & Logistics Management, 31(4), 266–289.CrossRef Barratt, M., & Oliveira, A. (2001). Exploring the experiences of collaborative planning initiatives. International Journal of Physical Distribution & Logistics Management, 31(4), 266–289.CrossRef
Zurück zum Zitat Bahinipati, B. K., Kanda, A., & Deshmukh, S. G. (2009). Coordinated supply management: Review, insights, and limitations. International Journal of Logistics Research and Application, 12(6), 407–422. Bahinipati, B. K., Kanda, A., & Deshmukh, S. G. (2009). Coordinated supply management: Review, insights, and limitations. International Journal of Logistics Research and Application, 12(6), 407–422.
Zurück zum Zitat Bourland, K. E., Powell, S. G., & Pyke, D. F. (1996). Exploiting timely demand information to reduce inventories. European Journal of Operational Research, 92(2), 239–253.CrossRefMATH Bourland, K. E., Powell, S. G., & Pyke, D. F. (1996). Exploiting timely demand information to reduce inventories. European Journal of Operational Research, 92(2), 239–253.CrossRefMATH
Zurück zum Zitat Byrne, P. J., & Heavey, C. (2006). The impact of information sharing and forecasting in capacitated industrial supply chains: A case study. International Journal of Production Economics, 103(1), 420–437.CrossRef Byrne, P. J., & Heavey, C. (2006). The impact of information sharing and forecasting in capacitated industrial supply chains: A case study. International Journal of Production Economics, 103(1), 420–437.CrossRef
Zurück zum Zitat Cachon, G. P., & Fisher, M. (1997). Campbell soup’s continuous product replenishment program: Evaluation and enhanced decision rules. Production and Operations Management, 6, 266–275.CrossRef Cachon, G. P., & Fisher, M. (1997). Campbell soup’s continuous product replenishment program: Evaluation and enhanced decision rules. Production and Operations Management, 6, 266–275.CrossRef
Zurück zum Zitat Cachon, G. P., & Fisher, M. (2000). Supply chain inventory management and the value of shared information. Management Science, 46(8), 1032–1048.CrossRefMATH Cachon, G. P., & Fisher, M. (2000). Supply chain inventory management and the value of shared information. Management Science, 46(8), 1032–1048.CrossRefMATH
Zurück zum Zitat Chang, T., Fu, H., Lee, W., Lin, Y., & Hsueh, H. (2007). A study of an augmented CPFR model for the 3C retail industry. Supply chain management: An International Journal, 12, 200–209.CrossRef Chang, T., Fu, H., Lee, W., Lin, Y., & Hsueh, H. (2007). A study of an augmented CPFR model for the 3C retail industry. Supply chain management: An International Journal, 12, 200–209.CrossRef
Zurück zum Zitat Chen, F. (1998). Echelon reorder points, installation re-order points, and the value of centralized demand information. Management Science, 44(12), 221–234.CrossRef Chen, F. (1998). Echelon reorder points, installation re-order points, and the value of centralized demand information. Management Science, 44(12), 221–234.CrossRef
Zurück zum Zitat Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the Bullwhip effect in a simple supply chain: The impact of forecasting, lead times and information. Management Science, 46(3), 436–443.CrossRefMATH Chen, F., Drezner, Z., Ryan, J. K., & Simchi-Levi, D. (2000). Quantifying the Bullwhip effect in a simple supply chain: The impact of forecasting, lead times and information. Management Science, 46(3), 436–443.CrossRefMATH
Zurück zum Zitat Forslund, H., & Jonsson, P. (2007). The impact of forecast information quality on supply chain performance. International Journal of Operations & Production Management, 27, 90–107.CrossRef Forslund, H., & Jonsson, P. (2007). The impact of forecast information quality on supply chain performance. International Journal of Operations & Production Management, 27, 90–107.CrossRef
Zurück zum Zitat Gavirneni, S., Kapuscinski, R., & Tayur, S. (1999). Value of information in capacitated supply chains. Management Science, 45(1), 16–24.CrossRefMATH Gavirneni, S., Kapuscinski, R., & Tayur, S. (1999). Value of information in capacitated supply chains. Management Science, 45(1), 16–24.CrossRefMATH
Zurück zum Zitat Graves, S. C. (1999). A single-item inventory model for a non-stationary demand process. Manufacturing and Service operations Management, 1(2), 50–61.CrossRef Graves, S. C. (1999). A single-item inventory model for a non-stationary demand process. Manufacturing and Service operations Management, 1(2), 50–61.CrossRef
Zurück zum Zitat Gunasekaran, A., Patel, C., & McGaughey, R. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–348.CrossRef Gunasekaran, A., Patel, C., & McGaughey, R. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–348.CrossRef
Zurück zum Zitat Holweg, M., Disney, S., Holmström, J., & Småros, J. (2005). Supply chain collaboration: Making sense of the strategy continuum. European Management Journal, 23(2), 170–181.CrossRef Holweg, M., Disney, S., Holmström, J., & Småros, J. (2005). Supply chain collaboration: Making sense of the strategy continuum. European Management Journal, 23(2), 170–181.CrossRef
Zurück zum Zitat Ketzenberg, M. (2009). The value of information in a capacitated closed loop supply chain. European Journal of Operational Research, 198(2), 491–503.CrossRefMATH Ketzenberg, M. (2009). The value of information in a capacitated closed loop supply chain. European Journal of Operational Research, 198(2), 491–503.CrossRefMATH
Zurück zum Zitat Kulp, S. C., Lee, H. L., & Ofek, E. (2004). Manufacturer benefits from information integration with retail customers. Management Science, 50(4), 431–444.CrossRef Kulp, S. C., Lee, H. L., & Ofek, E. (2004). Manufacturer benefits from information integration with retail customers. Management Science, 50(4), 431–444.CrossRef
Zurück zum Zitat Lee, H., & Whang, S. (1999). Decentralized multi-echelon supply chains: Incentives and information. Management Science, 45(5), 633–640.CrossRefMATH Lee, H., & Whang, S. (1999). Decentralized multi-echelon supply chains: Incentives and information. Management Science, 45(5), 633–640.CrossRefMATH
Zurück zum Zitat Lee, H., & Whang, S. (2001). Demand chain excellence: A tail of two retailers. Supply Chain Management Review, 5(2), 40–46. Lee, H., & Whang, S. (2001). Demand chain excellence: A tail of two retailers. Supply Chain Management Review, 5(2), 40–46.
Zurück zum Zitat Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management Science, 46(5), 626–643.CrossRefMATH Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management Science, 46(5), 626–643.CrossRefMATH
Zurück zum Zitat Li, X., & Wang, Q. (2007). Coordination mechanisms of supply chain systems. European Journal of Operational Research, 179, 1–16.CrossRefMATH Li, X., & Wang, Q. (2007). Coordination mechanisms of supply chain systems. European Journal of Operational Research, 179, 1–16.CrossRefMATH
Zurück zum Zitat Li, G., Yan, H., Wang, S., & Xia, Y. (2005). Comparative analysis on value of information sharing in supply chains. Supply Chain Management: An international journal, 10(1), 34–46.CrossRef Li, G., Yan, H., Wang, S., & Xia, Y. (2005). Comparative analysis on value of information sharing in supply chains. Supply Chain Management: An international journal, 10(1), 34–46.CrossRef
Zurück zum Zitat Nakano, M. (2009). Collaborative forecasting and planning in supply chains. International Journal of Physical Distribution and Logistics Management, 39(2), 84–105.CrossRef Nakano, M. (2009). Collaborative forecasting and planning in supply chains. International Journal of Physical Distribution and Logistics Management, 39(2), 84–105.CrossRef
Zurück zum Zitat Paulraj, A., Lado, A. A., & Chen, I. J. (2008). Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer-supplier relationships. Journal of Operations Management, 26(1), 45.CrossRef Paulraj, A., Lado, A. A., & Chen, I. J. (2008). Inter-organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer-supplier relationships. Journal of Operations Management, 26(1), 45.CrossRef
Zurück zum Zitat Raghunathan, S. (1999). Interorganizational collaborative forecasting and replenishment systems and supply chain implications. Decision Sciences, 30(4), 1053–1071.CrossRef Raghunathan, S. (1999). Interorganizational collaborative forecasting and replenishment systems and supply chain implications. Decision Sciences, 30(4), 1053–1071.CrossRef
Zurück zum Zitat Raghunathan, S. (2001). Information sharing in a supply chain: A note on its value when demand is non stationary. Management Science, 47(4), 605–610.CrossRefMATH Raghunathan, S. (2001). Information sharing in a supply chain: A note on its value when demand is non stationary. Management Science, 47(4), 605–610.CrossRefMATH
Zurück zum Zitat Ramanathan, U., & Muyldermans, L. (2010). Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK. International Journal of Production Economics, 128(2), 538–545.CrossRef Ramanathan, U., & Muyldermans, L. (2010). Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK. International Journal of Production Economics, 128(2), 538–545.CrossRef
Zurück zum Zitat Ramanathan, U. (2012). Supply chain collaboration for improved forecast accuracy of promotional sales. International Journal of Operations and Productions Management, 32(6), 676–695.CrossRef Ramanathan, U. (2012). Supply chain collaboration for improved forecast accuracy of promotional sales. International Journal of Operations and Productions Management, 32(6), 676–695.CrossRef
Zurück zum Zitat Ramanathan, U. (2013). Aligning supply chain collaboration using analytic hierarchy process. Omega: International Journal of Management Science, 41, 431–440.CrossRef Ramanathan, U. (2013). Aligning supply chain collaboration using analytic hierarchy process. Omega: International Journal of Management Science, 41, 431–440.CrossRef
Zurück zum Zitat Ryu, S.-J., Tsukishima, T., & Onari, H. (2009). A study on evaluation of demand information sharing methods in supply chain. International Journal of Production Economics, 120(1), 162–175.CrossRef Ryu, S.-J., Tsukishima, T., & Onari, H. (2009). A study on evaluation of demand information sharing methods in supply chain. International Journal of Production Economics, 120(1), 162–175.CrossRef
Zurück zum Zitat Sanders, N. R., & Premus, R. (2005). Modelling the relationship between firm IT capability collaboration and performance. Journal of Business Logistics, 26(1), 1–23.CrossRef Sanders, N. R., & Premus, R. (2005). Modelling the relationship between firm IT capability collaboration and performance. Journal of Business Logistics, 26(1), 1–23.CrossRef
Zurück zum Zitat Sari, K. (2008). On the benefits of CPFR and VMI: A comparative simulation study. International Journal of Production Economics, 113, 575–586.CrossRef Sari, K. (2008). On the benefits of CPFR and VMI: A comparative simulation study. International Journal of Production Economics, 113, 575–586.CrossRef
Zurück zum Zitat Simatupang, T. M., Sridharan, R. (2005). The collaboration index: A measure for supply chain collaboration. International Journal of Physical Distribution and Logistics Management, 35, 44–62. Simatupang, T. M., Sridharan, R. (2005). The collaboration index: A measure for supply chain collaboration. International Journal of Physical Distribution and Logistics Management, 35, 44–62.
Zurück zum Zitat Smaros, J. (2007). Forecasting collaboration in the European grocery sector: Observations from a case study. Journal of Operations Management, 25(3), 702–716.CrossRef Smaros, J. (2007). Forecasting collaboration in the European grocery sector: Observations from a case study. Journal of Operations Management, 25(3), 702–716.CrossRef
Zurück zum Zitat Steckel, J. H., Gupta, S., & Banerji, A. (2004). Supply chain decision making: Will shorter cycle times and shared point of sale information necessarily help? Management Science, 50(4), 458–464.CrossRefMATH Steckel, J. H., Gupta, S., & Banerji, A. (2004). Supply chain decision making: Will shorter cycle times and shared point of sale information necessarily help? Management Science, 50(4), 458–464.CrossRefMATH
Zurück zum Zitat VICS, (2002). CPFR guidelines voluntary inter-industry commerce standards. Retrieved January 2007, from www.cpfr.org VICS, (2002). CPFR guidelines voluntary inter-industry commerce standards. Retrieved January 2007, from www.​cpfr.​org
Zurück zum Zitat Zhao, X., Xie, J., & Leung, J. (2002). The impact of forecasting model selection on the value of information sharing in a supply chain. International Journal of Production Economics, 142, 321–344.MATH Zhao, X., Xie, J., & Leung, J. (2002). The impact of forecasting model selection on the value of information sharing in a supply chain. International Journal of Production Economics, 142, 321–344.MATH
Metadaten
Titel
A Systematic Approach to Analyze the Information in Supply Chain Collaboration: A Conceptual Framework
verfasst von
Usha Ramanathan
Copyright-Jahr
2014
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-5352-8_2