The influence of modularity and industry clockspeed on reverse logistics strategy: Implications for the purchasing function

2005 ◽  
Vol 11 (4) ◽  
pp. 193-205 ◽  
Author(s):  
Isabel Fernández ◽  
Tauno Kekäle
Keyword(s):  
Reverse Logistics ◽  
Logistics Strategy ◽  
Industry Clockspeed

Reverse-Logistics Strategy for Product Take-Back

2000 ◽  
Vol 30 (3) ◽  
pp. 156-165 ◽  
Author(s):  
Markus Klausner ◽  
Chris T. Hendrickson
Keyword(s):  
Reverse Logistics ◽  
Logistics Strategy ◽  
Take Back

Product Resynthesis as a Reverse Logistics Strategy for an Optimal Closed-Loop Supply Chain

2013 ◽  
Author(s):  
Chinmay Sane ◽  
Conrad S. Tucker
Keyword(s):  
Supply Chain ◽  
Reverse Logistics ◽  
Closed Loop ◽  
Manufacturing Firms ◽  
Third Party ◽  
High Tech ◽  
Closed Loop Supply Chain ◽  
Supply Chain Strategy ◽  
Logistics Strategy ◽  
Original Product

With continued emphasis on sustainability-driven design, reverse logistics is emerging as a vital competitive supply chain strategy for many of the global high-tech manufacturing firms. Various original equipment manufacturers (OEMs) and multi-product manufacturing firms are enhancing their reverse logistics strategies in order to establish an optimal closed-loop supply chain through which they can introduce refurbished variants of their products back into the market. While a refurbished product strategy helps to mitigate environmental impact challenges as well as provide additional economic benefits, it is limited to an existing product market, possibly a subset of the existing market, and fails to commercialize/target new markets. In addition to refurbishing, the alternatives available for utilizing End-Of-Life (EOL) products are currently restricted to recycling and permanent disposal. In this work, the authors propose employing a new EOL option called “resynthesis” that utilizes existing waste from EOL products in a novel way. This is achieved through the synthesis of assemblies/subassemblies across multiple domains. The “newly” synthesized product can then be incorporated into the dynamics of a closed-loop supply chain. The proposed methodology enables OEMs to not only offer refurbished products as part of their reverse logistics strategy, but also provide them with resynthesized product concepts that can be used to expand to new/emerging markets. The proposed methodology provides a general framework that includes OEMs (manufacturers of the original product), retailers (distributors of the original product and collectors of the EOL products) and third-party firms (managers of the EOL products) as part of a closed-loop supply chain strategy. The proposed methodology is compared with the existing methodologies in the literature wherein a third-party supplies the OEM only with refurbished products and supplies products unsuitable for refurbishing to another firm(s) for recycling/disposal. A case study involving a multi-product electronics manufacturer is presented to demonstrate the feasibility of the proposed methodology.

Selection of strategy for reverse logistics implementation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Himanshu Prajapati ◽  
Ravi Kant ◽  
Ravi Shankar
Keyword(s):  
Reverse Logistics ◽  
Implementation Strategy ◽  
Manufacturing Industry ◽  
Joint Venture ◽  
Industrial Sector ◽  
Manufacturing Firm ◽  
Content Type ◽  
Logistics Strategy ◽  
Indian Industries ◽  
Selection Of

Purpose Reverse logistics has attracted many industries due to product recalls, enormous waste generation, competitive reasons, vast opportunity in the waste management market, and to get the maximum value out of waste recovery. Selection of the right implementation strategy is vital for reverse logistics to function efficiently. Therefore, this research aims to evaluate the criteria for selecting reverse logistics strategy and help to choose the preferred strategy for its implementation. Design/methodology/approach Three reverse logistics implementation strategies, namely, in-house, joint venture and outsourcing, are proposed. A novel hybrid fuzzy analytical hierarchy process (F-AHP) and fuzzy measurement of alternatives and ranking according to COmpromise Solution (F-MARCOS) based framework is developed to fulfil the research objective. A survey is performed on Indian manufacturing industry to demonstrate the applicability of the proposed framework. Findings The result shows that government policy and regulations, reverse logistics risks and reduced emission have prime importance for a manufacturing industry which needs to implement reverse logistics into its supply chain. Outsourcing is the preferred reverse logistics strategy followed by joint venture and in-house that a manufacturing firm in India can implement. Research limitations/implications The research results are based on the responses of the survey received. This research considers various industry sectors to test the applicability of the framework. However, for actual implementation, this survey must first be limited to a particular industry as the results will apply to that industrial sector only. Practical implications This developed framework simplifies the procedure of selecting the strategy when the industry needs to implement reverse logistics. For industries working with a smaller set of criteria, this framework is a powerful and dynamic approach for reducing and choosing the most pertinent one that helps accomplish their objectives of reverse logistics implementation strategy selection. Originality/value Based on the literature and current applicability of reverse logistics, this research proposes three models to implement reverse logistics in Indian industries. A novel hybrid F-AHP and F-MARCOS based framework is developed to handle the selection of suitable reverse logistics strategy.

FLEXIBLE LOGISTICS STRATEGY BASED ON THE REALTIME DATA

2017 ◽  
Vol 2017 ◽  
pp. 463-464
Author(s):  
Yerim Chung ◽  
◽  
Taejoon Park
Keyword(s):  
Logistics Strategy

scholarly journals Inventory models with reverse logistics for assets acquisition in a liquefied petroleum gas company

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Cristina Lopes ◽  
Aldina Correia ◽  
Eliana Costa e Silva ◽  
Magda Monteiro ◽  
Rui Borges Lopes
Keyword(s):  
Reverse Logistics ◽  
Liquefied Petroleum Gas ◽  
Inventory Models

scholarly journals A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers

2021 ◽  
Vol 13 (4) ◽  
pp. 2064
Author(s):  
Arunodaya Raj Mishra ◽  
Pratibha Rani ◽  
Raghunathan Krishankumar ◽  
Edmundas Kazimieras Zavadskas ◽  
Fausto Cavallaro ◽  
...  
Keyword(s):  
Reverse Logistics ◽  
Hybrid Approach ◽  
Third Party ◽  
Illustrative Case ◽  
Primary Concern ◽  
Compromise Solution ◽  
Fuzzy Environment ◽  
Criteria Weights ◽  
Reverse Logistic ◽  
Illustrative Case Study

Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to select the suitable 3PRLP candidate requires a multi-criteria decision making (MCDM) process involving uncertainty owing to the presence of many associated aspects. In order to choose the most appropriate sustainable 3PRLP (S3PRLP), we introduce a hybrid approach based on the classical Combined Compromise Solution (CoCoSo) method and propose a discrimination measure within the context of hesitant fuzzy sets (HFSs). This approach offers a new process based on the discrimination measure for evaluating the criteria weights. The efficiency and practicability of the present approach are numerically demonstrated by solving an illustrative case study of S3PRLPs selection under a hesitant fuzzy environment. Moreover, sensitivity and comparative studies are presented to highlight the robustness and strength of the introduced methodology. The result of this work concludes that the introduced methodology can recommend a more feasible performance when facing with determinate and inconsistent knowledge and qualitative data.

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