Online from: 2007
Subject Area: Accounting and Finance
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|Title:||An improved theory of constraints|
|Author(s):||Amitava Ray, (Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Majitar, East-Sikkim, India), Bijan Sarkar, (Department of Production Engineering, Jadavpur University, Kolkata, India), Subir Kumar Sanyal, (Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Majitar, East-Sikkim, India)|
|Citation:||Amitava Ray, Bijan Sarkar, Subir Kumar Sanyal, (2008) "An improved theory of constraints", International Journal of Accounting and Information Management, Vol. 16 Iss: 2, pp.155 - 165|
|Keywords:||Outsourcing, Standard costs|
|Article type:||Case study|
|DOI:||10.1108/18347640810913816 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Acknowledgements:||The authors are very appreciative for the thoughtful and constructive comments made by the anonymous reviewers of this paper.|
Purpose – The primary aim in this paper is to develop and demonstrate a theory of constraints (TOC) model in which constraint resource prevents the throughput of the organization.
Design/methodology/approach – In this paper, the authors propose an integrated model by combining Laplace criterion and TOC into a single evaluation model in a multiproduct constraint resource environment. A case study is illustrated to demonstrate the effectiveness of this model. The outsourcing decision model compares three alternatives: standard cost accounting, standard theory-of-constraints, and our own solution.
Findings – The numerical results show that the new approach is superior to Standard cost accounting and Theory of Constraints and presents a more realistic state of optimum allocation of resources and measures the performance of the model.
Research limitations/implications – This research is limited to the production processes that do not have multiple constraints.
Originality/value – This is the first time that the integrated model comprising of Laplace-TOC model has been used to maximize the product throughput. Instead of calculating $return per constraint minute, this method 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.
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