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Quantitative approach for Theory of Constraints in Manufacturing

Bharat Chede, Charu Jain, Suresh Jain, Aparna Chede

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Abstract

In this paper, a systematic and quantitative view is presented for the application of the theory of constraints in manufacturing. This is done employing the operational research technique of mathematical programming. The potential of the theory of constraints in manufacturing is demonstrated. By applying the TOC philosophy based on this information, managers will be able to take the right actions that will improve the profitability of their companies. The model is proposed to be used with the TOC philosophy in order to improve the financial performance of a company.

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What this paper is about

In this paper, a systematic and quantitative view is presented for the application of the theory of constraints in manufacturing. This is done employing the operational research technique of mathematical programming. The potential of the theory of constraints in manufacturing is demonstrated. By applying the TOC philosophy based on this information, managers will be able to take the right actions that will improve the profitability of their companies. The model is proposed to be used with the TOC philosophy in order to improve the financial performance of a company.

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Available abstract

In this paper, a systematic and quantitative view is presented for the application of the theory of constraints in manufacturing. This is done employing the operational research technique of mathematical programming. The potential of the theory of constraints in manufacturing is demonstrated. By applying the TOC philosophy based on this information, managers will be able to take the right actions that will improve the profitability of their companies. The model is proposed to be used with the TOC philosophy in order to improve the financial performance of a company.

Key concepts: Theory of constraints, Profitability index, Computer science, Order (exchange), Constraint (computer-aided design), Throughput, Operations research, Industrial engineering

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