Lot scheduling problem for continuous demand
Article Abstract:
A lot scheduling problem for multi-item continuous demand is modeled based on the inventory buffer between a continuous production shop and a lot production shop. The problem involves a single machine with setup times in an infinite planning horizon. Based on a constant-demand model, the lot sizes for a cyclic schedule are determined. The concept of time inventory is used to determine heuristic setup rules which realize a stable system with a lower average stockout level and a lower inventory level. Monte Carlo simulations are used to determine the effects of the setup rules on the system.
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1996
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A compact heuristic for common cycle lot-size scheduling in multi-stage, multi-product production processes
Article Abstract:
The Common Cycle Scheduling Problem (CCSP) is formulated to provide for an effective computational solution. The objective of the model is to minimize the cost for all products in conjunction with given, stationary demands and practicable capacity limits. A multi-product, multi-stage production process are the criteria for which the model is designed and a sequencing heuristic is assumed. Evaluated for 200 data sets, the operation of the proposed heuristic against the optimal solution indicates a flat cost surface near the optimal solution.
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1992
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The economic lot and delivery scheduling problem: the single item case
Article Abstract:
A study was conducted to examine possible solutions to the economic lot and delivery scheduling problem. The study focuses on the case for single item markets and considers minimization of costs involving production setup, inventory holding and transportation of goods. Results show that the ratio between production and delivery intervals should approximate an integer in optimal solutions.
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1992
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