A Study of Production Smoothing in a Job Shop Environment
Article Abstract:
Production smoothing and planning deal with the setting of production, inventory, and work force levels to meet demand. Planning is needed when demand fluctuates. A planning window concept is developed. This window is the difference between the promised delivery time and the planned production time. Job shop operations clearly can not use inventory to smooth demand functions. Smoothing can occur over this planning window. The extent of the smoothing depends on the size of the window. A small increase in the window can provide major production smoothing benefits. Graphs show the trade-off between smoothness and inventory. Graphs also show production variance against window length and the impact on inventory. Numerical results are presented in a table.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1984
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A Study of Production Smoothing in a Job Shop Environment
Article Abstract:
A production smoothing strategy is examined. This strategy uses a planning window which represents the difference between delivery lead time and production lead time. A production smoothing model is developed within a job shop environment. An analysis of this model demonstrates the benefits to this approach. Flexibility from this approach reveals substantial smoothing benefits. A case study addresses the problem of choosing an appropriate planning window with regard to inventory holding costs, production smoothing costs, and implementation costs. Methods for reducing production time are outlined.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1984
User Contributions:
Comment about this article or add new information about this topic:
Analysis and generalisation of a multivariate exponential smoothing model
Article Abstract:
A multivariate exponential smoothing model for Machak, Enns, Wrobleski, and Spivey is evaluated and it is noted that the format is applicable to predictions based on a univariate exponential smoothing model. Also, forecasts may be made from the use of algorithms based on the univariate model. The model may consequently be used easily for the univariate case.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1986
User Contributions:
Comment about this article or add new information about this topic:
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