Integrated Quantitative Business Network Planning: Towards a New Understanding of Supply Chain Management

Authors

  • Michael Jahr European University of Applied Sciences (EUFH), Department of Industrial Management, Chair for Business Administration and Quantitative Methods, Hammer Landstr. 89, 41460 Neuss, Germany

DOI:

https://doi.org/10.6000/2371-1647.2015.01.01

Keywords:

Mathematical Programming, Production Distribution Networks, Quantitative Management, Supply Chain Reference Model, Pivotal Point Coordination.

Abstract

In business management quantitative modelling is a core competency. It enables structuring various complex problems; reduce systems to their relevant elements and to make objective and clear decisions. This especially applies to production-distribution networks which are formed by multiple independent and globally active companies. Here, individual goals and collective tasks meet so that experienced-based knowledge is no longer satisfactory. A literature review showed that there is no satisfactory concept available for superior network and quantitative operational management in multi-tier business networks. Therefore, in this article we focus quantitative supply chain models as starting point for stipulations among independent network partners. First, we deduce the main elements of quantitative modelling for inter- and intra-organisational production-distribution planning. Thereby, we present an extension of the Two-Stage-Production-Distribution-Problem which can be used as starting point for iterative supply chain coordination. Based on a literature review we introduce a novel pivotal point supply chain management model. The approach induces ongoing alignment of the strategic, tactic and operative tasks. On each level of this hierarchical planning frame specific plans are computed for comparison and adjustment. The advantages of this approach can be found in the reliable objective basis for negotiations and the repeatable combined inter- and intra-organisational management.

References

Cooper MC, Lambert DM, Pagh, JD. Supply chain management: More Than a New Name for Logistics. IJLM 1997; 8: 1-14. http://dx.doi.org/10.1108/09574099710805556 DOI: https://doi.org/10.1108/09574099710805556

Beamon, BM. Measuring supply chain performance. IJOPM 1999; 19: 275-292. http://dx.doi.org/10.1108/01443579910249714 DOI: https://doi.org/10.1108/01443579910249714

Min H, Zhou G. Supply chain modeling: past, present and future. Comp Ind En 2002; 43: 231-249. http://dx.doi.org/10.1016/S0360-8352(02)00066-9 DOI: https://doi.org/10.1016/S0360-8352(02)00066-9

Lee LH, Padmanabhan V, Whang S. Information Distortion in a Supply Chain: The Bullwhip Effect. Manag. Sci. 1997; 43: 546-558. http://dx.doi.org/10.1287/mnsc.43.4.546 DOI: https://doi.org/10.1287/mnsc.43.4.546

Sherman RJ. Collaborative Planning, Forecasting & Replenishment (CPFR): Realizing the Promise of Efficient Consumer Response through Collaborative Technology. JMTP 1998; 6: 6-9. DOI: https://doi.org/10.1080/10696679.1998.11501806

Rohde J, Meyr H, Wagner M. Die Supply Chain Planning Matrix. PPS Manag. 2000; 5: 1-15. DOI: https://doi.org/10.1007/978-3-662-04215-1_3

Geoffrion AM, Graves GW. Multicommodity Distribution System Design by Benders Decomposition. Manag. Sci. 1974; 20: 822-844. http://dx.doi.org/10.1287/mnsc.20.5.822 DOI: https://doi.org/10.1287/mnsc.20.5.822

Glover F, Jones G, Karney D, Klingman D, Mote J. An Integrated Production, Distribution, and Inventory Planning System. Interfaces 1979; 9: 21-35. http://dx.doi.org/10.1287/inte.9.5.21 DOI: https://doi.org/10.1287/inte.9.5.21

van Roy TJ. Multi-Level Production and Distribution Planning with Transportation Fleet Optimization. Manag. Sci. 1989; 35: 1443-1453. http://dx.doi.org/10.1287/mnsc.35.12.1443 DOI: https://doi.org/10.1287/mnsc.35.12.1443

Lee HL, Billington C. Material Management in Decentralized Supply Chains. Op Re 1993; 41: 835-847. http://dx.doi.org/10.1287/opre.41.5.835 DOI: https://doi.org/10.1287/opre.41.5.835

Martin CH, Dent DC, Eckhart JC. Integrated Production, Distribution, and Inventory Planning at Libbey-Owens-Ford. Interfaces 1993; 23: 68-78. http://dx.doi.org/10.1287/inte.23.3.68 DOI: https://doi.org/10.1287/inte.23.3.68

Pooley, J. Integrated Production and Distribution Facility Planning at Ault Foods. Interfaces 1994; 24: 113-121. http://dx.doi.org/10.1287/inte.24.4.113 DOI: https://doi.org/10.1287/inte.24.4.113

Arntzen BC, Brown GG, Harrison TP, Trafton LL. Global Supply Chain Management at Digital Equipment Corporation. Interfaces 1995; 25: 69-93. http://dx.doi.org/10.1287/inte.25.1.69 DOI: https://doi.org/10.1287/inte.25.1.69

Oxé G. Reducing overcapacity in chemical plants by linear programming. EJOR 1997; 97: 337-347. http://dx.doi.org/10.1016/S0377-2217(96)00202-0 DOI: https://doi.org/10.1016/S0377-2217(96)00202-0

Ozdamar L, Yazgac T. A hierarchical planning approach for a production-distribution system. IJPR 1999; 37: 3759-3772. http://dx.doi.org/10.1080/002075499190031 DOI: https://doi.org/10.1080/002075499190031

Haehling von Lanzenauer CH, Pilz-Glombik K. Coordinating supply chain decisions: an optimization model. OR Spec 2002; 24: 59-78. http://dx.doi.org/10.1007/s291-002-8200-3 DOI: https://doi.org/10.1007/s291-002-8200-3

Ferretti I, Zanoni S, Zavanella L, Diana A. Greening the aluminium supply chain. IJPE 2007; 108: 236-245. http://dx.doi.org/10.1016/j.ijpe.2006.12.037 DOI: https://doi.org/10.1016/j.ijpe.2006.12.037

Gunnarsson H, Rönnqvist M, Carlsson D. Integrated Production and Distribution Planning for Södra Cell AB. JMMA 2007; 6: 25-45. http://dx.doi.org/10.1007/s10852-006-9048-z DOI: https://doi.org/10.1007/s10852-006-9048-z

Pibernik R, Sucky E. An approach to inter-domain master planning in supply chains. IJPE 2007; 108: 200-212. http://dx.doi.org/10.1016/j.ijpe.2006.12.010 DOI: https://doi.org/10.1016/j.ijpe.2006.12.010

Steinrücke M, Jahr M. Tactical planning in supply chain networks with customer oriented single sourcing. IJLM 2012; 23: 259-279. http://dx.doi.org/10.1108/09574091211265387 DOI: https://doi.org/10.1108/09574091211265387

APICS Supply Chain Council [homepage on the Internet]. APICS, 8430 West Bryn Mawr Avenue Chicago, IL 60631, USA; [cited 2015 Jun 22]: Available from: http://www.supply-chain.org/

Stadtler, H. Supply chain management and advanced planning––basics, overview and challenges. EJOR 2005; 163: 575-585. http://dx.doi.org/10.1016/j.ejor.2004.03.001 DOI: https://doi.org/10.1016/j.ejor.2004.03.001

Jahr M. A Hybrid Approach to Quantitative Software Project Scheduling Within Agile Frameworks. PMJ 2014; 45: 35-45. http://dx.doi.org/10.1002/pmj.21411 DOI: https://doi.org/10.1002/pmj.21411

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Published

2015-07-31

How to Cite

Jahr, M. (2015). Integrated Quantitative Business Network Planning: Towards a New Understanding of Supply Chain Management. Journal of Advances in Management Sciences & Information Systems, 1, 1–7. https://doi.org/10.6000/2371-1647.2015.01.01

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Articles