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A framework for collaborative planning and state-of-the-art. (English) Zbl 1160.90539
Summary: Inter-organizational supply chain management incurs the challenge to align the activities of all members which contribute to the value creation of a product or service offered to customers. In general, a supply chain faces the “problem” of information asymmetry, members having their own objectives and constraints which may be in conflict with those of the other members. Still, activities have to be aligned in such a way that the supply chain as a whole stays or becomes competitive while each member wins by cooperating. A number of collaborative planning schemes have been put forward in the last two decades with different assumptions and different areas of application. This paper intends to provide a framework and an overview on the state-of-the-art of collaborative planning. The criteria of the framework will allow us to position existing concepts and to identify areas where more research is needed. The focus of the literature reviewed here will be on model-based decision support at the operational planning level.

MSC:
90B50 Management decision making, including multiple objectives
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[1] Akkermans H, Bogerd P and van Doremalen J (2004). Travail, transparency and trust: a case study of computer-supported collaborative supply chain planning in high-tech electronics. Eur J Oper Res 153: 445–456 · Zbl 1053.90060 · doi:10.1016/S0377-2217(03)00164-4
[2] Anthony RN (1965) Planning and control systems, a framework for analysis. Boston
[3] Barbarosoĝlu G (2000). An integrated supplier–buyer model for improving supply chain coordination. Product Planning Control 11: 732–741 · doi:10.1080/095372800750038337
[4] Bhatnagar R and Chandra P (1993). Models for multi-plant coordination. Eur J Oper Res 67: 141–160 · doi:10.1016/0377-2217(93)90058-U
[5] Bendeloy E, Donohue K and Schultz KL (2006). Behavior in operations management: Assessing recent findings and revisiting old assumptions. J Oper Manage 26: 737–752 · doi:10.1016/j.jom.2005.10.001
[6] Benders JF (1962). Partitioning procedures for solving mixed-variables programming problems. Numerische Mathematik 4: 238–252 · Zbl 0109.38302 · doi:10.1007/BF01386316
[7] Boudreau J, Hopp W, McClain JO and Thomas LJ (2003). On the interface between operations and human resource management. Manufact Service Oper Manage 5(3): 179–202 · doi:10.1287/msom.5.3.179.16032
[8] Boysen N, Fliedner M and Scholl A (2007). A classification for assembly line balancing problems. Eur J Oper Res 183: 674–693 · Zbl 1179.90103 · doi:10.1016/j.ejor.2006.10.010
[9] Brucker P, Drexl A., Möhring R, Neuman K and Pesch E (1999). Resource-constrained project scheduling: notation, classification, models, and methods. Eur J Oper Res 112: 3–41 · Zbl 0937.90030 · doi:10.1016/S0377-2217(98)00204-5
[10] Buxmann P, Diaz LM, Wolf K and von Ahsen A (2004). Usage and evaluation of supply chain management software–results of an empirical study in the European automotive industry. Informat Syst J 14: 295–309 · Zbl 02178832 · doi:10.1111/j.1365-2575.2004.00172.x
[11] Cachon GP (2003). Supply chain coordination with contracts. In: Graves SC, de Kok AG (eds) Supply chain management: design, coordination and contracts. Handbook in operations research and management science, vol 11, pp 229–239. Elsevier, Amsterdam
[12] Cachon GP and Lariviere MA (2001). Turning the supply chain into a revenue chain. Harvard Business Rev 79: 20–21
[13] Cachon GP and Lariviere MA (2005). Supply chain coordination with revenue-sharing contracts: strength and limitations. Manage Sci 51: 30–44 · Zbl 1232.90173 · doi:10.1287/mnsc.1040.0215
[14] Christopher M (1998). Logistics and supply chain management, strategies for reducing cost and improving service. Financial Times Pitman Publishing, London
[15] Clark AJ and Scarf H (1960). Optimal policies for a multi-echelon inventory problem. Manage Sci 6: 475–490 · doi:10.1287/mnsc.6.4.475
[16] Corbett CJ and de Groote X (2000). A supplier’s optimal quantity discount policy under asymmetric information. Manage Sci 46: 444–450 · Zbl 1231.90024 · doi:10.1287/mnsc.46.3.444.12065
[17] Cui TH, Jagmohan SR and Zhang ZJ (2007). Fairness and channel coordination. Manage Sci 53(8): 1303–1314 · doi:10.1287/mnsc.1060.0697
[18] Danese P (2005) A taxomomy of supply chain collaborations: an investigation of CPFR initiatives, paper presented at the EurOMA conference on operational and global competitiveness, Budapest, Hungary, 19–22, June 2005
[19] Dantzig GB and Wolfe P (1960). Decomposition principle for linear programs. Oper Res 8: 101–111 · Zbl 0093.32806 · doi:10.1287/opre.8.1.101
[20] Drexl A and Kimms A (1997). Lot sizing and scheduling–survey and extensions. Eur J Oper Res 99: 221–235 · Zbl 0923.90067 · doi:10.1016/S0377-2217(97)00030-1
[21] Dudek G (2004). Collaborative planning in supply chains. A negotiation-based approach, Lecture notes in economics and mathematical systems 533. Springer, Berlin · Zbl 1047.90001
[22] Dudek G and Stadtler H (2005). Negotiations-based collaborative planning between supply chain partners. Eur J Oper Res 163: 668–687 · Zbl 1071.90004 · doi:10.1016/j.ejor.2004.01.014
[23] Dudek G and Stadtler H (2007). Negotiation-based collaborative planning in divergent two-tier supply. Int J Product Res 45: 465–484 · Zbl 1141.90316 · doi:10.1080/00207540600584821
[24] Dyckhoff H and Finke U (1992). Cutting and packing in production and distribution. Physica, Heidelberg
[25] Dyer JH, Cho DS and Chu W (1998). Strategic supplier segmentation: The next best practice in supply chain management. Calif Manage Rev 40(2): 57–77
[26] Ertogral K and Wu SD (2000). Auction-theoretic coordination of production planning in the supply chain. IIE Trans 32: 931–940
[27] Feldmann M and Müller S (2003). An incentive scheme for true information providing in supply chains. OMEGA 31(2): 63–73 · doi:10.1016/S0305-0483(02)00096-8
[28] Fleischmann B (1999) Kooperation von Herstellern in der Konsumgüterdistribution. In: Engelhard J, Sinz EJ (eds) Kooperation im Wettbewerb. Wiesbaden, 168–186
[29] Fink A (2003) Automatisierte Koordinationsmechanismen zur Ausgestaltung komplexer Verträge im Rahmen mediatisierter Verhandlungsprozesse. In: W Uhr, W Esswein, E Schoop (Hrsg.), Wirtschaftsinformatik 2003, Band I, Medien, Märkte, Mobilität, Springer, pp 281–301
[30] Fink A (2004) Supply chain coordination by means of automated negotiations. Proceedings of the 37th Hawaii International Conference on System Sciences, IEEE
[31] Fransoo JC, Wouters MJF and de Kok T (2001). Multi-echelon multi-company inventory planning with limited information exchange. J Oper Res Soc 52: 830–838 · Zbl 1181.90012 · doi:10.1057/palgrave.jors.2601162
[32] Friedrich JM, Mertens P, Eversheim W and Kampker R. (2002). Der CW-SCM-Ansatz, Eine komponentenbasierte Supply-Chain-Management-Software für kleine und mittlere Unternehmen. Wirtschaftsinformatik 44: 117–130
[33] Fox MS, Barbuceanu M and Teigen R (2000). Agent oriented supply chain management. Int J Flexible Manufact Syst 12: 165–188 · doi:10.1023/A:1008195614074
[34] Gerchak Y and Wang Y (2004). Revenue-sharing vs. wholesale-price contracts in assembly systems with random demand. Product Oper Manage 13: 23–33 · doi:10.1111/j.1937-5956.2004.tb00142.x
[35] Gjerdrum J, Shah N and Papageorgiou LG (2002). Fair transfer price and inventory holding policies in two-enterprise supply chains. Eur J Oper Res 143: 582–599 · Zbl 1082.90500 · doi:10.1016/S0377-2217(01)00349-6
[36] Grolik S, Stockheim T, Wendt O, Albayrak S and Fricke S (2001). Dispositive Supply-Web-Koordination durch Multiagentensysteme. Wirtschaftsinformatik 43: 143–155
[37] Güth W (1995). On ultimatum bargaining experiments: a personal view. J Econ Behav Org 27: 330–344
[38] Hax AC, Meal HC (1975) Hierarchical integration of production planning and scheduling. In: Geisler MA (ed) TIMS-studies in management science, vol. 1, logistics. North Holland/TIMS, Studies in Management Sciences, Amsterdam, pp 127–172,
[39] Hirshleifer J and Riley JG (1992). The analytics of uncertainty and information. Cambridge University Press, Cambridge
[40] Holweg M, Disney S, Holmström J and Smaros J (2005). Supply chain collaboration: making sense of the strategic continuum. Eur Manage J 23: 170–181 · doi:10.1016/j.emj.2005.02.008
[41] Jammernegg W and Kischka P (2005). Dynamic, customer-oriented improvement of supply networks. Eur J Oper Res 167: 413–426 · Zbl 1075.90039 · doi:10.1016/j.ejor.2004.04.024
[42] Jung H and Jeong B (2005). Decentralised production–distribution planning system using collaborative agents in supply chain network. Int J Adv Manufact Technol 25: 167–173 · doi:10.1007/s00170-003-1792-x
[43] Jung H, Chen FF, Jeong B (2005) A production–distribution coordination model for third party logistics partnership, 2005 IEEE international conference on automation science and engineering (CASE)
[44] Karabuk S and Wu SD (2002). Decentralizing semiconductor capacity planning via internal market coordination. IIE Trans 34: 743–759
[45] Kilger C and Reuter B (2005). Collaborative planning. In: Stadtler, H and Kilger, C (eds) Supply chain management and advanced planning, pp 260–278. Concepts, models
[46] Knolmayer G, Mertens P and Zeier A (2002). Supply chain management based on SAP Systems, order management in manufacturing companies. Springer, Berlin
[47] Landeros R and Monczka R (1989). Cooperative buyer/seller relationships and a firm’s competitive posture. J Purchas Mater Manage 25(3): 9–18
[48] Li X and Wang Q (2007). Coordination mechanisms of supply chain systems. Eur J Oper Res 179: 1–16 · Zbl 1161.90309 · doi:10.1016/j.ejor.2006.06.023
[49] Lu L (1995). A one-vendor multi-buyer integrated inventory model. Eur J Oper Res 81: 312–323 · Zbl 0927.90005 · doi:10.1016/0377-2217(93)E0253-T
[50] Marble RP and Lu Y (2007). Culturalizing enterprise software for the Chinese context: An argument for accommodating guanxi-based business practices. Int J Product Econ 107: 364–379 · doi:10.1016/j.ijpe.2006.09.013
[51] Meijboom BR (1986). Horizontal mixed decomposition. Eur J Oper Res 27: 25–33 · Zbl 0626.90055 · doi:10.1016/S0377-2217(86)80004-2
[52] Myerson RB (1991). Game theory: analysis of conflict. Harvard University Press, Cambridge · Zbl 0729.90092
[53] Monahan JP (1984). A quantity discount pricing model to increase vendor profits. Manage Sci 30: 720–726 · doi:10.1287/mnsc.30.6.720
[54] Milgrom P (2004). Putting auction theory to work. Cambridge University Press, Cambridge
[55] Minner S (2000) Strategic safety stocks in supply chains. Lecture notes in economics and mathematical systems, pp 490, Springer, Berlin · Zbl 0971.90004
[56] Roussel J, Kuehn H and Schoepke P (2002). Unlocking the value from supply chain planning solutions. Supply Chain Forum Int J 3(1): 30–33
[57] Sarmah SP, Acharya D and Goyal SK (2006). Buyer–vendor coordination models in supply chain management. Eur J Oper Res 175: 1–15 · Zbl 1137.90359 · doi:10.1016/j.ejor.2005.08.006
[58] Schneeweiss C (2003). Distributed decision making. Springer, Berlin · Zbl 1079.90074
[59] Schneeweiss C and Zimmer K (2004). Hierarchical coordination mechanisms within the supply chain. Eur J Oper Res 153: 687–703 · Zbl 1099.90005 · doi:10.1016/S0377-2217(02)00801-9
[60] Shirodkar S and Kempf K (2006). Supply chain collaboration through shared capacity models. Interfaces 36: 420–432 · doi:10.1287/inte.1060.0235
[61] Simpson NC and Erengüc SS (2001). Modeling the order picking function in supply chain systems: formulation, experimentation and insights. IIE Trans 33: 119–130 · doi:10.1023/A:1007650918536
[62] Stadtler H (2004). Advanced planning systems–basics and beyond. In: Fandel, G, Backes-Gellner, U, Schlüter, M and Staufenbiel, JE (eds) Modern concepts of the theory of the firm, managing enterprises of the new economy, pp 285–300. Springer, Berlin
[63] Sucky E (2004a). Koordination in supply chains. Spieltheoretische Ansätze zur Ermittlung integrierter Bestell- und Produktionspolitiken. Gabler, Wiesbaden · Zbl 1069.90035
[64] Sucky E (2004b). Coordinating order and production policies in supply chains. OR Spectrum 26: 493–520 · Zbl 1069.90035 · doi:10.1007/s00291-004-0178-2
[65] Thomas DJ and Griffin PM (1996). Coordinated supply chain management. Eur J Oper Res 94: 1–15 · Zbl 0929.90004 · doi:10.1016/0377-2217(96)00098-7
[66] Tsay A, Nahmias S, Agrawal N (1998) Modeling supply chain contracts: a review. In: Tayur S, Ganeshan R, Magazine M (eds) Quantitative models for supply chain management, Boston · Zbl 1052.90513
[67] Vanderbeck F (2000). On Dantzig-Wolfe decomposition in integer programming and ways to perform branching in a branch-and-price algorithm. Oper Res 48: 111–128 · Zbl 1106.90360 · doi:10.1287/opre.48.1.111.12453
[68] Voluntary Interindustry Commerce Standards (2004): Collaborative planning, forecasting and replenishment (CPFR). 14/07/06: http://www.vics.org/standards/CPFR_Overview_US-A4.pdf , Accessed on 14 July 2006
[69] Whang S (1995). Coordination in operations: a taxonomy. J Oper Manage 12: 413–422 · doi:10.1016/0272-6963(95)00010-P
[70] Whang Y and Gerchak Y (2003). Capacity games in assembly systems with uncertain demand. Manufact Service Oper Manage 5: 252–267 · doi:10.1287/msom.5.3.252.16030
[71] Zimmer K (2001). Koordination im Supply Chain Management. Ein hierarchischer Ansatz zur Steuerung der unternehmensübergreifenden Planung. Gabler, Wiesbaden
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