By Dong-Ping Song
Optimal regulate and Optimization of Stochastic offer Chain structures examines its topic the context of the presence of various uncertainties. various examples with intuitive illustrations and tables are supplied, to illustrate the structural features of the optimum keep an eye on rules in a number of stochastic offer chains and to teach the right way to utilize those features to build easy-to-operate sub-optimal guidelines. partly I, a basic creation to stochastic offer chain structures is equipped. Analytical versions for varied stochastic offer chain structures are formulated and analysed partly II. partially III the structural wisdom of the optimum regulate rules received partly II is applied to build easy-to-operate sub-optimal keep watch over regulations for varied stochastic offer chain platforms hence. eventually, half IV discusses the optimisation of threshold-type keep an eye on regulations and their robustness. A key characteristic of the ebook is its tying jointly of the complicated analytical types produced via the necessities of operational perform, and the straightforward suggestions wanted for implementation. The analytical versions and theoretical research propounded during this monograph can be of gain to educational researchers and graduate scholars taking a look at logistics and provide chain administration from standpoints in operations examine or commercial, production, or keep watch over engineering. the sensible instruments and suggestions and the qualitative insights into the guidelines underlying sensible provide chain platforms might be of comparable use to readers from extra industrially-based backgrounds.
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Extra info for Optimal Control and Optimization of Stochastic Supply Chain Systems
2002b) demonstrated the value of unfilled demand information to the optimal replenishment policy in a two-level make-to-order inventory-production system. Berman and Kim (2001) characterized an optimal ordering policy as a monotonic References 33 threshold structure in a supply chain consisting of single class of customers, company, and supplier. Berman and Kim (2004) extended the above model to a profit maximization problem with stochastic service, demand, and lead time. Kim (2005) characterized the optimal replenishment policy as a monotonic threshold function of reorder point under the discounted cost criterion in a lost-sale service system with finite waiting room capacity.
A more centralized distribution such as gamma or normal distributions may be more appropriate. Further, the basic supply chain in Chap. 2 considers two inventory stocking points, that is, raw material warehouse and finished goods warehouse. A more general supply chain infrastructure would include multiple stages with multiple stocking points. In this chapter, we consider four types of relaxations. The first relaxation is to consider the case of at most one outstanding order but with its order size not changeable once issued.
Manuf. Serv. Oper. Manage. : On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Manage. Sci. : Dynamic order replenishment policy in internet-based supply chains. Math. Method Oper. Res. : Dynamic inventory strategies for profit maximization in a service facility with stochastic service, demand and lead time. Math. Method Oper. Res. : Dynamic Programming: Deterministic and Stochastic Models. : Exploiting timely demand information to reduce inventories.