2005Transactions of the Institute of Systems Control and Information EngineersOpen access

Expansion to a Multi-item Production Planning System for Implementing Mass Customization

Nobuyuki Ueno, Kyozo Furuta, Koji Okuhara, Hiroaki Shibuki, Toshiaki Kuramoto

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Abstract

With the diversification of the customer need, there is an issue for a business model to realize mass customization in the automobile industry. A new production planning system of implementing mass customization, which is concerned with a single-item production planning system, has already been presented. This paper proposes a multi-item production and inventory planning model of the mass customization that considers the restriction of daily manufacturing capacity. This model becomes a stochastic programming problem of which sub problem is a linear programming problem. An efficient and practical solution algorithm for the multi-item model is developed.

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With the diversification of the customer need, there is an issue for a business model to realize mass customization in the automobile industry. A new production planning system of implementing mass customization, which is concerned with a single-item production planning system, has already been presented. This paper proposes a multi-item production and inventory planning model of the mass customization that considers the restriction of daily manufacturing capacity. This model becomes a stochastic programming problem of which sub problem is a linear programming problem. An efficient and practical solution algorithm for the multi-item model is developed.

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Available abstract

With the diversification of the customer need, there is an issue for a business model to realize mass customization in the automobile industry. A new production planning system of implementing mass customization, which is concerned with a single-item production planning system, has already been presented. This paper proposes a multi-item production and inventory planning model of the mass customization that considers the restriction of daily manufacturing capacity. This model becomes a stochastic programming problem of which sub problem is a linear programming problem. An efficient and practical solution algorithm for the multi-item model is developed.

Key concepts: Mass customization, Production planning, Production (economics), Computer science, Personalization, Diversification (marketing strategy), Manufacturing engineering, Operations research

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