Decreasing e-waste through reliability enhancement encouraged by performance-based contracting

IF 2.7 Q2 MANAGEMENT
Hasan Uvet, H. Celik, Sedat Cevikparmak, Saban Adana, Yavuz Idug
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引用次数: 3

Abstract

PurposeIn the last 20 years, e-waste has become a serious issue resulting from an overwhelming amount of electronics consumption. However, there has been limited research on how to decrease such waste in a structured manner. Toward study was to use a simulation methodology to investigate the dynamics of upfront investment in reliability enhancement promoted by performance-based contracting (PBC), based on the number of spare parts and duration of the contract.Design/methodology/approachThe present research first details the relevant mathematical equations and uses game theory to demonstrate the utility for supplier and buyer relationships. Next, the effects of reliability enhancement, spare partsPBC are analyzed using a BlockSim simulation model.FindingsThe results indicate strong relationships among system design cost, reliability, availability and service cost. The authors found that investment in reliability increases system availability while reducing total service costs. Furthermore, increasing the spare parts inventory was determined to have less influence on the readiness of highly reliable systems. The findings support the notion that PBC reduces e-waste by increasing system availability, incentivizing upfront investment in reliability growth.Research limitations/implicationsRecognition of these findings in the context of buyer–supplier relationships will help managers better understand the value of upfront reliability investment, reducing maintenance, repair and overhaul requirements, avoiding the need to plan for extra spare parts and minimizing volume and the resulting e-waste.Practical implicationsThis study also clarifies the uncertainty associated with upfront investment and provides potential incentives for suppliers.Originality/valueThe main contribution of this study is its use of PBC for e-waste reduction, highlighting the effects of upfront investment in reliability enhancement. The authors applied a game theory model to illustrate the relationship between incentives and upfront investment and demonstrate how increased levels of spare parts can be counterproductive to achieving readiness, reducing inventory and consequent e-waste.
基于绩效的合同鼓励通过提高可靠性来减少电子垃圾
目的在过去的20年里,由于电子产品的大量消费,电子垃圾已经成为一个严重的问题。然而,关于如何以结构化的方式减少此类废物的研究有限。研究的目的是使用模拟方法,根据备件数量和合同期限,调查基于绩效的合同(PBC)促进的可靠性增强的前期投资动态。设计/方法论/方法本研究首先详细介绍了相关的数学方程,并使用博弈论来证明供应商和买方关系的效用。接下来,使用BlockSim仿真模型分析了可靠性增强、备件SBC的效果。结果表明,系统设计成本、可靠性、可用性和服务成本之间存在着密切的关系。作者发现,在可靠性方面的投资提高了系统可用性,同时降低了总服务成本。此外,增加备件库存对高度可靠系统的准备情况影响较小。研究结果支持了PBC通过提高系统可用性、激励可靠性增长的前期投资来减少电子垃圾的观点。研究局限性/含义在买方-供应商关系的背景下认识到这些发现将有助于管理者更好地了解前期可靠性投资的价值,减少维护、维修和大修要求,避免计划额外备件的需要,并最大限度地减少数量和由此产生的电子垃圾。实际含义本研究还阐明了与前期投资相关的不确定性,并为供应商提供了潜在的激励措施。原创性/价值本研究的主要贡献是将PBC用于减少电子垃圾,强调了前期投资对提高可靠性的影响。作者应用博弈论模型来说明激励措施和前期投资之间的关系,并证明备件水平的提高如何对实现准备就绪、减少库存和随之而来的电子垃圾产生反作用。
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
53
期刊介绍: In today''s competitive business and industrial environment, it is essential to have an academic journal offering the most current theoretical knowledge on quality and reliability to ensure that top management is fully conversant with new thinking, techniques and developments in the field. The International Journal of Quality & Reliability Management (IJQRM) deals with all aspects of business improvements and with all aspects of manufacturing and services, from the training of (senior) managers, to innovations in organising and processing to raise standards of product and service quality. It is this unique blend of theoretical knowledge and managerial relevance that makes IJQRM a valuable resource for managers striving for higher standards.Coverage includes: -Reliability, availability & maintenance -Gauging, calibration & measurement -Life cycle costing & sustainability -Reliability Management of Systems -Service Quality -Green Marketing -Product liability -Product testing techniques & systems -Quality function deployment -Reliability & quality education & training -Productivity improvement -Performance improvement -(Regulatory) standards for quality & Quality Awards -Statistical process control -System modelling -Teamwork -Quality data & datamining
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