Coordinated supply chain management

Thomas, Douglas J.; Griffin, Paul M.

doi:10.1016/0377-2217(96)00098-7

Cited by 1,000 publications

(385 citation statements)

References 44 publications

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“…The planning of spare parts inventories is performed by a Mixed Integer Programming based optimization model (Erke et al, 2003) that uses the inventory-distribution type of optimization logic (Thomas et al, 1996). A simplified version of the model that incorporates its main characteristics is depicted in Appendix A.…”

Section: Spare Parts Planningmentioning

confidence: 99%

Spare parts logistics and installed base information

Jalil

Zuidwijk

Fleischmann

et al. 2011

Journal of the Operational Research Society

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Section: Spare Parts Planningmentioning

confidence: 99%

Spare parts logistics and installed base information

Jalil

Zuidwijk

Fleischmann

et al. 2011

Journal of the Operational Research Society

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“…Thom as and P.M. Griffin point to the fact that com panie s are ranging from decision-making in unrelated processes to the coordination and integrated design and control of all of their components in order to achieve the objective to be pursued by any company, and that is the provision of goods and services to customers with the lowest possible costs and a high level of quality (Thomas and Griffin 1996).…”

Section: Introductionmentioning

confidence: 99%

Convergence to Process Organization by Model of Process Maturity

Babičković

Vojinović

2015

ZREFIS

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“…For many real-world problems, the sub-problems are naturally defined. For example, in supply chain management (Thomas and Griffin 1996;Stadtler 2005;Melo et al 2009), each stage or operation such as procurement, production and distribution can correspond to a sub-problem. However, it is often inevitable that such sub-problems are still interdependent on each other.…”

Section: Introductionmentioning

confidence: 99%

On investigation of interdependence between sub-problems of the Travelling Thief Problem

Mei

Yao

2014

Soft Comput

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In this paper, the interdependence between subproblems in a complex overall problem is investigated using a benchmark problem called Travelling Thief Problem (TTP), which is a combination of Travelling Salesman Problem (TSP) and Knapsack Problem (KP). First, the analysis on the mathematical formulation shows that it is impossible to decompose the problem into independent sub-problems due to the non-linear relationship in the objective function. Therefore, the algorithm for TTP is not straightforward although each sub-problem alone has been investigated intensively. Then, two meta-heuristics are proposed for TTP. One is the Cooperative Co-evolution (CC) that solves the sub-problems separately and transfers the information between them in each generation. The other is the Memetic Algorithm (MA) that solves TTP as a whole. The comparative results showed that MA consistently obtained much better results than both the standard and dynamic versions of CC within comparable computational budget. This indicates the importance of considering the interdependence between sub-problems in an overall problem like TTP.

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Coordinated supply chain management

Cited by 1,000 publications

References 44 publications

Spare parts logistics and installed base information

Spare parts logistics and installed base information

Convergence to Process Organization by Model of Process Maturity

On investigation of interdependence between sub-problems of the Travelling Thief Problem

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