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.
Reference15 articles.
1. Produktionsplanung
2. EIA. (2009). Energy Information Administration: Official Energy Statistics from the U.S. Government. Retrieved July 2, 2009 from http://eia.doe.gov/
3. EPA. (2009). U.S. Environmental Protection Agency: Calculations and References. Retrieved July 12, 2009 from http://www.epa.gov/
4. EPI. (2009). The Earth Policy Institute: Water Prices Rising Worldwide. Retrieved July 3, 2009 from http://earth-policy.org/
5. Lot-Size Planning with Non-Linear Cost Functions Supporting Environmental Sustainability
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Production Planning;Ethics and Sustainability in Global Supply Chain Management;2017