Outsourcing decision under Utopian environment

Author:

Ray Amitava,Sarkar Bijan,Sanyal Subir

Abstract

PurposeThe aim of this paper is to develop and demonstrate an outsourcing decision model in which constraint resource prevents the throughput of the organization.Design/methodology/approachAn integrated model is proposed by incorporating the weighted product model (WPM) of AHP in estimating the priority of each product in a multi‐product constraint resource environment. A numerical example is presented to demonstrate the effectiveness of this model. The outsourcing decision model compares four alternatives: Standard cost accounting, standard theory‐of‐constraints (TOC), LP analysis and an original solution.FindingsThe numerical results show that the proposed model is superior and more realistically optimizes resource allocation and measures the performance of the model.Research limitations/implicationsThis research is limited to the production processes that do not have multiple constraints.Practical implicationsThis research is applicable to the companies which produce multi‐products in a situation in which market demand exceed the company's production capacity.Originality/valueThis is the first time that the WPM of AHP/TOC has been used to maximize the product throughput. Instead of calculating $return per constraint minute, it decides the priority of product that maximizes the product throughput in the constraint resource environment. It makes a significant contribution to the manufacturing organization where one can compare the financial performance of the organization by selecting the right decision model.

Publisher

Emerald

Subject

Accounting

Reference33 articles.

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3. Boyd, J.H. and Cox, J.F. (2002), “Optimal decision making using cost accounting information”, IJPR, Vol. 40, pp. 1879‐98.

4. Campbell, R.J. (1995), “Steeling time with ABC and TOC”, Management Accounting, January, p. 31.

5. Chakrabarty, P.S., Majumdar, G. and Sarkar, B. (2006), “Constraint resource management and production related decision‐a case study”, IE(I) Journal‐pr, March, p. 86.

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