JOURNAL ARTICLE

MULTI‐MACHINE, MULTI‐PRODUCT PRODUCTION SCHEDULING AND INVENTORY CONTROL

Dileep G. DhavaleSumer C. Aggarwal

Year: 1978 Journal:   Decision Sciences Vol: 9 (4)Pages: 577-595   Publisher: Wiley

Abstract

Abstract This paper deals with a multi‐machine, multi‐product lot size determination and scheduling problem. The model developed here considers not only the usual inventory‐related operational cost, but also the costs that depend on under‐ or over‐utilization of available men and machines. It penalizes overtime or idle time at any facility. The solution minimizes the inventory and resource‐related costs and not just inventory costs. A heuristic is developed to determine the solution from the model and to modify it, as necessary, to obtain a conflict‐free, repetitive, and cyclic production schedule for an infinite horizon. Although this model is developed for a manufacturing situation, the words machine, job, and machine shop are used in a symbolic sense, and hence the model can be used in practice in a variety of circumstances.

Keywords:
Computer science Scheduling (production processes) Holding cost Inventory control Operations research Time horizon Schedule Heuristic Mathematical optimization Overtime Product (mathematics) Industrial engineering Mathematics Economics Engineering Artificial intelligence

Metrics

10
Cited By
1.86
FWCI (Field Weighted Citation Impact)
10
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Scheduling and Optimization Algorithms
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Supply Chain and Inventory Management
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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