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Sustainable Production Planning Supporting Entrepreneurial Success and Environmental Friendliness

Sustainable Production Planning Supporting Entrepreneurial Success and Environmental Friendliness

Markus Heck
Copyright: © 2014 |Pages: 16
ISBN13: 9781466651661|ISBN10: 1466651660|EISBN13: 9781466651678
DOI: 10.4018/978-1-4666-5166-1.ch016
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MLA

Heck, Markus. "Sustainable Production Planning Supporting Entrepreneurial Success and Environmental Friendliness." Green Technology Applications for Enterprise and Academic Innovation, edited by Ezendu Ariwa, IGI Global, 2014, pp. 249-264. https://doi.org/10.4018/978-1-4666-5166-1.ch016

APA

Heck, M. (2014). Sustainable Production Planning Supporting Entrepreneurial Success and Environmental Friendliness. In E. Ariwa (Ed.), Green Technology Applications for Enterprise and Academic Innovation (pp. 249-264). IGI Global. https://doi.org/10.4018/978-1-4666-5166-1.ch016

Chicago

Heck, Markus. "Sustainable Production Planning Supporting Entrepreneurial Success and Environmental Friendliness." In Green Technology Applications for Enterprise and Academic Innovation, edited by Ezendu Ariwa, 249-264. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5166-1.ch016

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Abstract

This chapter proposes the use of modified algorithms for production planning that support both cost optimization as well as environmental friendliness. The key element is the implementation of non-linear cost functions based on ecological considerations for lot-size planning. Lot-size planning is an essential part of industrial production and integral part of ERP-systems. The classical approaches of lot-size optimization, which are widespread in industries, the Wagner-Whitin algorithm and the Part-Period Balancing heuristic, are enhanced with so-called eco-factors. These eco-factors allow an optimization based on cost as well as ecological factors. This eco-enhanced approach combined with the introduced concept of eco-balancing helps to reduce overall production costs. Simultaneously, the environmental impact is significantly reduced, resulting in a better carbon footprint.

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