DOCTORAL STUDENT, INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR
In the history of corporate environmentalism, the actions and concerns have evolved from a localized, pollution emissions perspective, to a global concern on general environmental sustainability through such efforts as the United Nations Global Compact. Over the past two decades, several international conferences and treaties are held including the Conference of Parties (COP) which emphasize about the environmental sustainability. There has been a wide consensus among world leaders that it is inevitable now to check the emission of greenhouse gasses (GHG). Auspiciously, firms across the world recognize the need for sustainability to survive since a significant share of the economy heavily impinges on natural resource base. In today’s global economy, firms are trying to integrate used or returned products into the supply chain (SC) to recapture the materials for economic and sustainability purposes. The rapid development of technology results increased demand for new consumer goods, by shortening the use time of many products and increasing the quantity of salvageable, used and scrap products. At that moment, The SC collects the returned end-of-life (EOL), end-of-use (EOU), defective and broken or unused products from the customer through retailers using a contractual agreement. Reverse Logistics can be used as a strategic tool to gain customer loyalty and reduce operational costs by maximizing recovery from used products. Reverse logistics is defined as “the process of planning, implementing and controlling backward flows of raw materials, in-process inventory and finished goods, from manufacturing, distribution or use point, to the point of recovery or point of proper disposal”. In present days, many drivers like environmental legislations, corporate citizenship are driving firms to reuse used products again to save raw material and protect the environment. For this purpose, Reverse Logistics activities like remanufacturing, recycling, reuse, and repair have been developed which are environmentally and economically sound to deal with the core returns after customer usage. Among these many popular initiatives, remanufacturing is playing a vital role for firms to differentiate themselves from competitors to reduce their costs and to add value to their supply chains and end customers while catering the needs of environmental sustainability.
Abstract: Owing to the increasing attention to sustainability and green manufacturing as well as the legislations and competition, product recovery management has become an important issue to extend the product's life. It is an environmentally, economically and socially sound way to achieve many of the goals of sustainable development. In this paper, a fuzzy-;based multi-;criteria decision making framework has been proposed for the evaluation of alternate product recovery processes. The evaluation has been done based on the criteria of operating cost, value added recovery, environmental impact, market demand, technical/operational feasibility, and corporate social responsibility. The five alternative product recovery processes identified in the study are repair, refurbishing, remanufacturing, cannibalising, and recycling. The novelty of the framework is that it takes care of the inherent uncertainties in reverse logistics environment; and managers can provide different weights to different criteria depending upon the company strengths, weaknesses, opportunities and threats in the business environment.
Pub.: 11 Nov '16, Pinned: 10 Aug '17
Abstract: Reverse logistics is believed to be one of the most promising solutions for capturing the remaining values from used products and has been extensively focused by both academics and practitioners during the past two decades. Conceptual framework, mathematical programming, and computational algorithms have been developed for decision-making at strategic, tactical, and operational levels of a reverse supply chain. In this paper, a novel idea for the design and planning of a general reverse logistics network is suggested and formulated through multi-objective mixed integer programming. The reverse logistics system is an independent network and comprises of three echelons for collection, remanufacturing, recycling, energy recovery, and disposal of used products. The mathematical model not only takes into account the minimization of system operating costs, but also considers minimization of carbon emissions related to the transportation and processing of used products, and the minimum rate of resource utilization is also required in order to minimize the waste of resources in landfill. Illustration, sensitivity analysis, and numerical experimentation are given to show the applicability and computational efficiency of the proposed model. This work provides an alternative approach to account both economic and environmental sustainability of a reverse logistics system. The result explicitly shows the trade-off between the costs and carbon emissions, cost effectiveness for improving environmental performance, and influences from resource utilization, all of which have great practical implication on decision-making of network configurations and transportation planning of a reverse logistics system. For future development of this work, suggestions are also given latter in this paper.
Pub.: 02 Apr '16, Pinned: 10 Aug '17
Abstract: Under growing consumer awareness and increasing legislation, firms are realizing the importance of including sustainability within their strategic objectives to promote their green image, enhance their corporate citizenship status, and also improve profit margins. Towards this end, sustainability through product remanufacturing is gaining momentum. However, a key complication for maintaining operational efficiencies during production planning and control of remanufacturing lies in the inability to accurately forecast core returns. These difficulties are mostly attributable to limited visibility and higher levels of uncertainty in reverse logistics. Despite significant advances in the remanufacturing literature over the last two decades, there is not yet a practical approach for modelling core return delay durations when the company is engaged in business with a large remanufacturing product catalog and many customer facilities. This is particularly true for suppliers that engage in both original equipment (OE) service as well as independent after-market (IAM) businesses. This research aims to address these limitations for suppliers by developing a range of hazard rate models for core returns duration modeling. Models are also validated using data from a large global automotive supplier.
Pub.: 05 Jul '16, Pinned: 10 Aug '17
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