A study of MRP benefits and costs

Roger G. Schroeder; John C. Anderson; Sharon E. Tupy; Edna M. White

doi:10.1016/0272-6963(81)90031-0

A study of MRP benefits and costs

Roger G. Schroeder, John C. Anderson, Sharon E. Tupy, Edna M. White

Supply Chain and Operations

Research output: Contribution to journal › Article › peer-review

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Abstract

This paper describes benefits and costs of MRP systems based on a large survey of MRP users. These users report they have achieved significant improvements in inventory turnover, delivery performance, and other benefits, and that further improvements are expected when their MRP systems are fully implemented. A series of regression models are also described in the paper which explain why some companies achieve more benefits from MRP than others. The models are not only fitted to the sample data, but they obtain good predictive results on a holdout sample. These models indicate that companies should stress a broad approach to implementation; there is no one overriding factor which guarantees MRP success.

Original language	English (US)
Pages (from-to)	1-9
Number of pages	9
Journal	Journal of Operations Management
Volume	2
Issue number	1
DOIs	https://doi.org/10.1016/0272-6963(81)90031-0
State	Published - Oct 1981

Bibliographical note

Funding Information:
*Department of Management Sciences, Graduate School of Business Administration, University of Minnesota. This study was partially supported by a grant from the American Production and Inventory Control Society.

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title = "A study of MRP benefits and costs",

abstract = "This paper describes benefits and costs of MRP systems based on a large survey of MRP users. These users report they have achieved significant improvements in inventory turnover, delivery performance, and other benefits, and that further improvements are expected when their MRP systems are fully implemented. A series of regression models are also described in the paper which explain why some companies achieve more benefits from MRP than others. The models are not only fitted to the sample data, but they obtain good predictive results on a holdout sample. These models indicate that companies should stress a broad approach to implementation; there is no one overriding factor which guarantees MRP success.",

author = "Schroeder, {Roger G.} and Anderson, {John C.} and Tupy, {Sharon E.} and White, {Edna M.}",

note = "Funding Information: *Department of Management Sciences, Graduate School of Business Administration, University of Minnesota. This study was partially supported by a grant from the American Production and Inventory Control Society.",

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A study of MRP benefits and costs

Abstract

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