Abstract
In the modern competitive business environment, the design and management of supply chains is one of the most important and critical problems facing managers of multinational companies operating worldwide. There are three levels of decisions in a supply chain: strategic, tactical, and operational levels. The literature generally treats these decisions separately. This study defines a conceptual framework for the development of new modeling approaches for the Production Distribution Logistic System Design (PDSD) problem. In particular, the authors introduce the initial basis for the development of an innovative decision support systems platform capable of integrating the design, management, control, and optimization activities for a supply chain system.
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Lambert DM, Cooper MC, Pagh JD (1998) Supply chain management: implementation issues and research opportunities. Int J Logist Manag 9(2):1–20
Sahin F, Robinson E (2002) Flow coordination and information sharing in supply chains: review, implications, and directions for future research. Decis Sci 33(4):505–536
Shen Z-JM (2005) A multi-commodity supply chain design problem. IIE Trans 37(8):753–762
Chan FTS, Chan HK (2006) A simulation study with quantity flexibility in a supply chain subjected to uncertainties. Int J Comput Integr Manuf 19(2):148–160
Dobson G, Pinker EJ (2006) The value of sharing lead time information. IIE Trans 38(3):171–183
Chan FTS, Chan HK (2005) The future trend on system-wide modelling in supply chain studies. Int J Adv Manuf Technol 25(7–8):820–832
Chen IJ, Paularaj A (2004) Understanding supply chain management: critical research and a theoretical framework. Int J Prod Res 42(1):131–163
Campbell J, Sankaran J (2005) An inductive framework for enhancing supply chain integration. Int J Prod Res 43(16):3321–3351
Caputo M, Mininno V (1998) Configurations for logistics co-ordination: a survey of Italian grocery firms. Int J Phys Distrib Logist Manag 28(5–6):349–376
Blackhurst J, Wu T, O’Grady P (2005) PCDM: a decision support modeling methodology for supply chain, product and process design decisions. J Oper Manag 23(3–4):325–343
Amiri A (2006) Designing a distribution network in a supply chain system: formulation and efficient solution procedure. Eur J Oper Res 171(2):567–576
Manzini R, Gamberi M, Regattieri A (2006) Applying mixed integer programming to the design of a distribution logistic network. Int J Ind Eng—Theory Appl Prac 13(2):207–218
Piramuthu S (2005) Machine learning for dynamic multi-product supply chain formation. Expert Syst Appl 29(4):985–990
Makatsoris HC, Chang YS (2004) Design of a demand-driven collaborative supply-chain planning and fulfilment system for distributed enterprises. Prod Plan Control 15(3):256–269
Azevedo AL, Toscano C, Sousa JP, Soares AL (2004) An advanced agent-based order planning system for dynamic networked enterprise. Prod Plan Control 15(2):133–144
Zoryk-Schalla AJ, Fransoo JC, de Kok TG (2004) Modeling the planning process in advanced planning systems. Inf Manage 42(1):75–87
Manzini R, Ferrari E, Gamberi M, Persona A, Regattieri A (2005) Simulation performance in the optimisation of the supply chain. Int J Oper Prod Manage 16(2):127–144
Ng WK, Piplani R, Viswanathan S (2003) Simulation workbench for analysing multi-echelon supply chains. Integr Manuf Syst 14(5):449–457
Santoso T, Ahmed S, Goetschalckx M, Shapiro A (2005) A stochastic programming approach for supply chain network design under uncertainty. Eur J Oper Res 167(1):96–115
Herer YT, Tzur M, Yucesan E (2006) The multilocation transshipment problem. IIE Trans 38(3):185–200
Manzini R., Gebennini E (2007) Optimization models for the dynamic facility location and allocation problem. Int J Prod Res (in press)
Gunasekaran A, Patel C, McGaughey RE (2004) A framework for supply chain performance measurement. Int J Prod Econ 87(3):333–347
Manzini R, Ferrari E, Persona A, Regattieri A (2005) An expert system for the design of a multi-echelon inventory/distribution fulfilment system. In: Proceedings of the 18th International Conference on Production Research (ICPR18), Fisciano, Italy, July/August 2005
Forrester JW (1961) Industrial dynamics. MIT Press, Cambridge, Massachusetts
Montgomery DC (2004) Design and analysis of experiments. Wiley, New York
Peltzer D (2004) XML: language mechanics and applications. Addison-Wesley, Boston, Massachusetts
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Manzini, R., Gamberi, M., Gebennini, E. et al. An integrated approach to the design and management of a supply chain system. Int J Adv Manuf Technol 37, 625–640 (2008). https://doi.org/10.1007/s00170-007-0997-9
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DOI: https://doi.org/10.1007/s00170-007-0997-9