Demand Flexibility in Supply Chain Planning by Joseph Geunes

By Joseph Geunes

This paintings encapsulates the basic advancements during this box right into a unmarried source, in addition to to set an schedule for additional improvement within the box. This short makes a speciality of the call for flexibility in provide chains with fragmented effects allotted through the literature. those effects have robust implications for handling real-world complicated operations making plans problems.

This booklet exploits dimensions of call for flexibility in provide chains and characterizes the simplest healthy among call for houses and operations functions and constraints. The origins and seminal works are traced in built-in call for and operations making plans and an in-depth documentation is equipped for the present cutting-edge. platforms with inherent charges and constraints that needs to reply to a few set of calls for at a minimal price are tested. an important unanswered questions are explored and the high-value examine instructions are highlighted for either perform and for the advance of recent and fascinating optimization types and algorithms.

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When this is the case, the average holding plus fixed order costs per unit time as a function of the vector x, denoted as AC(x), may be written as S j ∈J Dj xj Hb + . 17) AC(x) = b 2 Finding the best solution of this type then requires solving the following problem: n rj − Maximize j =1 S Hb Dj xj − b 2 Subject to xj ∈ {0, 1}, j = 1, . . , n. 19) The above problem is easily solved by inspection by setting xj = 1 for each demand j such that rj > S/b (interestingly, this solution may also be obtained exactly as before: by sorting demands in nonincreasing order of unit revenue values and evaluating all solutions of the form xj = 1 for j = 1, .

Production in any period carries a fixed order cost as well as variable production costs, and inventory may be held from period to period, incurring an associated holding cost. The planner’s goal is to maximize profit from order acceptance decisions over the planning horizon. 1 Demand Selection Problem Definition The model we consider in this chapter generalizes the ELSP, discussed in Chap. 1, and is intimately related to the ELSP with pricing presented in Chap. 2, as we later discuss in Sect. 4.

Rosenberg D (1991) Optimal Price-Inventory Decisions-Profit vs. ROII. IIE Transactions 23(1):17–22 32. Silver E, Pyke D, Peterson R (1998) Inventory Management and Production Planning and Scheduling, 3rd edn. Wiley, New York 33. Thomas J (1970) Price-Production Decisions with Deterministic Demand. Management Science 16(11):747–750 34. Tobin R, Miller T, Friesz T (1995) Incorporating Competitors’ Reactions in Facility Location Decisions: A Market Equilibrium Approach. Location Science 3(4):239–253 35.

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