By Tadeusz Sawik
ISBN-10: 0470935731
ISBN-13: 9780470935736
A unified, systematic method of using combined integer programming options to built-in scheduling in customer-driven provide chainsSupply chain administration is a quickly constructing box, and the hot advancements in modeling, preprocessing, resolution algorithms, and combined integer programming (MIP) software program have made it attainable to unravel large-scale MIP versions of scheduling difficulties, specifically built-in scheduling in provide chains. that includes a unified and systematic presentation, Scheduling in provide Chains utilizing combined Integer Programming offers state of the art MIP modeling and options ways, equipping readers with the data and instruments to version and clear up real-world offer chain scheduling difficulties in make-to-order manufacturing.Drawing upon the author's personal study, the booklet explores MIP methods and examples-which are modeled on genuine provide chain scheduling difficulties in high-tech industries-in 3 entire sections:Short-Term Scheduling in provide Chains offers numerous MIP versions and offers heuristic algorithms for scheduling versatile move retailers and floor mount expertise strains, balancing and scheduling of versatile meeting strains, and loading and scheduling of versatile meeting SystemsMedium-Term Scheduling in provide Chains outlines MIP versions and MIP-based heuristic algorithms for provider choice and order allocation, client order recognition and due date environment, fabric provide scheduling, and medium-term scheduling and rescheduling of purchaser orders in a make-to-order discrete production environmentCoordinated Scheduling in offer Chains explores coordinated scheduling of producing and provide of components in addition to the meeting of goods in provide chains with a unmarried manufacturer and unmarried or a number of providers; MIP versions for a unmarried- or multiple-objective selection making also are providedTwo major decision-making techniques are mentioned and in comparison all through. The built-in (simultaneous) method, within which all required judgements are made at the same time utilizing advanced, monolithic MIP types; and the hierarchical (sequential) technique, during which the necessary judgements are made successively utilizing hierarchies of less complicated and smaller-sized MIP types. during the publication, the writer presents perception at the awarded modeling instruments utilizing AMPL® modeling language and CPLEX solver.Scheduling in offer Chains utilizing combined Integer Programming is a complete source for practitioners and researchers operating in offer chain making plans, scheduling, and administration. The publication can also be acceptable for graduate- and PhD-level classes on provide chains for college students majoring in administration technology, business engineering, operations study, utilized arithmetic, and computing device technology.
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Additional info for Scheduling in Supply Chains Using Mixed Integer Programming
Example text
1 A general flow shop with single machines. Let pik be the processing time on machine i [ I of part k [ K. For every part k denote by cik its completion time in each stage i as well as its departure time from stage i. Processing without preemption indicates that part k completed in stage i at time cik had started its processing in that stage at time cik 2 pik. Each part k completed in stage i at time cik immediately departs that stage for the next stage i + 1, if it is not occupied with another part; otherwise the part is transferred to the buffer with unlimited capacity between stages i and i +1.
A hierarchical decision-making framework with IP and MIP models is proposed and with the objective function that integrates maximization of the customer service level and best utilization of the production resources. Computational examples modeled on a real-world make-to-order flexible assembly system with multicapacity machines in the electronics industry illustrate the hierarchical xxxiv Introduction integration of tactical and operational decision making in a customer-driven supply chain. † † † Chapter 12, Coordinated Scheduling in Supply Chains with a Single Supplier.
Xxxii Introduction A dual-objective time-indexed MIP formulation is proposed with the solution approach in which the decisions are directly linked with available capacity. The problem objective is to select a maximal subset of orders that can be completed by customer requested dates and to quote delayed due dates for the remaining acceptable orders to minimize the number of delayed orders, the total number of delayed products, or the total revenue as a primary optimality criterion and to minimize the total or maximum delay of orders, as a secondary criterion.
Scheduling in Supply Chains Using Mixed Integer Programming by Tadeusz Sawik
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