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Production planning for bulk recycling in electronics take-back centers.

机译：电子回收中心批量回收的生产计划。

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摘要

The amount of End-Of-Life (EOL) electronic equipment has grown rapidly in recent years while government legislations and penalties to prevent them from landfill are either being implemented or pending in many countries. Consequently, more companies are beginning to remanufacture and bulk recycle EOL electronic products. Several analytical models have been presented to address production planning and inventory control in remanufacturing. However, literature in bulk recycling is sparse, with only a few product and specific process-step focused models. This dissertation develops a new analytical approach to address short-term bulk recycling planning from a process perspective.; Currently, recyclers depend on experience to make the following short-term bulk recycling planning decisions: (1) determine processing and reprocessing level, (2) select products to accept or to direct ship, and (3) select products to process and to carry in inventory. In practice, production line personnel make decision (1) and marketing personnel make decisions (2) and (3). However, as the quantities and varieties of EOL product returns increase, it becomes more challenging to make these decisions only based on experience. Adding to these challenges are the variation of the quantity and variety of EOL products and the volatility of the price of recycled materials. Analytical models are needed to help recyclers make decisions (1) to (3). We initially develop two separate models to address decision (1) and decisions (2) and (3) independently. Due to the potential for increased EOL product returns, we further investigate the impact of the capacity constraints and develop an integrated model to address all three decisions simultaneously. We present a heuristic to find a lower bound to enhance the branch-and-search solution procedure for our model. Analytical and computational results are presented to verify the performance of the heuristic.; Finally a case study is performed to validate the integrated model and investigate the sensitivity of the three bulk recycling decisions to products from two different sources: industrial returns versus residential returns. The results of the case study show that the bulk recycling decisions are sensitive to the return sources.
机译：近年来，报废电子设备的数量迅速增长，同时许多国家正在实施或正在等待防止其被填埋的政府立法和处罚。因此，更多的公司开始重新制造和批量回收EOL电子产品。已经提出了几种分析模型来解决再制造中的生产计划和库存控制。但是，有关大量回收的文献很少，只有少数产品和针对特定过程步骤的模型。本文从过程的角度出发，开发了一种新的分析方法，以解决短期批量回收计划。当前，回收商依靠经验来制定以下短期批量回收计划决策：（1）确定加工和再加工水平;（2）选择接受或直接运送的产品;（3）选择要加工和运输的产品库存中。在实践中，生产线人员做出决策（1），市场营销人员做出决策（2）和（3）。但是，随着EOL产品退货数量和品种的增加，仅根据经验做出这些决定就变得更具挑战性。 EOL产品数量和种类的变化以及再生材料价格的波动加剧了这些挑战。需要分析模型来帮助回收商做出决策（1）至（3）。我们最初开发了两个单独的模型来分别处理决策（1）和决策（2）和（3）。由于增加EOL产品回报的潜力，我们将进一步研究产能限制的影响，并开发一个集成模型来同时处理所有三个决策。我们提出一种启发式方法，以找到下限，以增强模型的分支搜索解决方案过程。给出分析和计算结果以验证启发式算法的性能。最后，进行了一个案例研究，以验证集成模型并调查三个批量回收决策对来自两种不同来源的产品的敏感性：工业收益与住宅收益。案例研究的结果表明，大宗回收决定对退货来源很敏感。

著录项

  • 作者

    Lu, Qin.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Operations Research.; Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 97 p.
  • 总页数 97
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 运筹学;一般工业技术;
  • 关键词

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