https://findresearcher.sdu.dk:8443/ws/files/116118561/reverse_logistics.pdf

Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future

A comparative literature analysis of definitions for green and sustainable supply chain management

A literature review and a case study of sustainable supply chains with a focus on metrics

Achieving sustainability in manufacturing requires a holistic view spanning not just the product, and the manufacturing processes involved in its fabrication, but also the entire supply chain, including the manufacturing systems across multiple product life-cycles. This requires improved models, metrics for sustainability evaluation, and optimization techniques at the product, process, and system levels. This paper presents an overview of recent trends and new concepts in the development of sustainable products, processes and systems. In particular, recent trends in developing improved sustainability scoring methods for products and processes, and predictive models and optimization techniques for sustainable manufacturing processes, focusing on dry, near-dry and cryogenic machining as examples, are presented.

Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels

Over the last decade, the concept of the circular economy has regained attention, especially related to efforts to achieve a more sustainable society. The ‘revival’ of the circular economy has been accompanied by controversies and confusions across different actors in science and practice. With this article we attempt at contributing to advanced clarity in the field and providing a heuristic that is useful in practice. Initially, we take a focus on the historical development of the concept of circular economy and value retention options (ROs) for products and materials aiming for increased circularity. We propose to distinguish three phases in the evolution of the circular economy and argue that the concept – in its dominant framing – is not as new as frequently claimed. Having established this background knowledge, we give insights into ‘how far we are’ globally, with respect to the implementation of circularity, arguing that high levels of circularity have already been reached in different parts of the globe with regard to longer loop value retention options, such as energy recovery and recycling. Subsequently, we show that the confusion surrounding the circular economy is more far reaching. We summarize the divergent perspectives on retention options and unite the most common views a 10R typology. From our analyses, we conclude that policymakers and businesses should focus their efforts on realization of the more desirable, shorter loop retention options, like remanufacturing, refurbishing and repurposing – yet with a view on feasibility and overall system effects. Scholars, on the other hand, should assist the parties contributing to an increased circular economy in practice by taking up a more active role in attaining consensus in conceptualizing the circular economy.

The circular economy: New or Refurbished as CE 3.0? — Exploring Controversies in the Conceptualization of the Circular Economy through a Focus on History and Resource Value Retention Options

Conventional supply chain management (SCM) practices have focused only on three life-cycle stages: pre-manufacturing, manufacturing and use. The fourth stage, post-use, probably the most important from a sustainability perspective, is often addressed on a piece-meal basis, only when such practices deliver economic benefits. This paper introduces a total life-cycle-based approach to sustainable SCM (SSCM) that extends beyond the 3R's of reduce, reuse and recycle to 6R's that includes recover, redesign and remanufacture. A new definition for SSCM that adopts the total life-cycle approach and triple bottom-line (TBL) is presented. Two existing supply chain frameworks: supply chain operations reference (SCOR) model and the global supply chain forum (GSCF) framework, are evaluated in the context of SSCM to improve economic growth while ensuring environmental protection and societal well-being. The review finds that neither framework explicitly captures the non-economic aspects of SSCM, but the broader view of the GSCF framework offers much promise.

Extending total life-cycle thinking to sustainable supply chain design

Promoting sustainability within business operations requires sustainable products, processes, and system, i.e., sustainable supply chains (SSCs). To efficiently reduce environmental and societal impacts of supply chains (SCs) while maintaining continued profitability, it is necessary that the entire SC is designed and managed from a total life-cycle perspective considering coordination between product, process, and SC design. Coordinating product and SC design decisions play a critical role in improving the SSC's performance. The product design determines all its future costs, both in forward and reverse-flow, which in turn depend on the SC configuration such as the number and location of SC partners their capabilities and capacities. Therefore, coordinating sustainable product and SC design decisions requires consideration of all four product life-cycle stages and incorporating a closed-loop flow within the SC. The purpose of this paper is twofold. First, it emphasizes on the need and importance of coordinating product and SC design decisions in SSCs (through illustrative case studies) and the limitations of existing models from a SSC perspective. Second, the paper explains some of the challenges that need to be addressed while developing such holistic integrated models, provides key factors influencing their performance, and thereby proposes a framework to perform this coordination.

Integrating Sustainable Product and Supply Chain Design: Modeling Issues and Challenges

Supply chains are networks of companies engaged in activities required to bring a product (or service) to market. The design of products, processes and systems in sustainable supply chains (SSCs) must not only seek economic benefits for shareholders and value for customers but also manage environmental and societal impacts affecting all stakeholders. Realizing this goal mandates considering activities that span the entire lifecycle of a product which, in reality, are conducted by many companies in the supply chain. This paper presents a product life-cycle based framework for SSCs and examines the modeling capabilities necessary to achieve sustainability goals. On-going research to develop models for SSC design and management are also presented.

Design and Performance Evaluation of Sustainable Supply Chains: Approach and Methodologies

Decision support models for coordinating sustainable product and supply chain (SC) design can help a company identify the best product designs that will bring highest sustainability benefits to the entire SC at the product development stage. This paper presents a multi-stage decision support model (developed using a hierarchical approach) that evaluates alternate product designs and their SC configurations to identify the best product design and their closed-loop SC configuration that maximizes profit and also minimize adverse environmental and societal impacts. The model considers a total life-cycle approach and promotes closed-loop flow over multiple product life-cycles. Particularly, this paper provides a detailed description of the mixed integer linear programming model developed to evaluate the impact of alternate product design on their corresponding SC configuration to identify for each design an optimal closed-loop SC configuration that maximizes the profit. The application of the model to an example problem is presented.

Optimized closed-loop supply chain configuration selection for sustainable product designs

OF THESIS ADAPTIVE, MULTI-OBJECTIVE JOB SHOP SCHEDULING USING GENETIC ALGORITHMS This research proposes a method to solve the adaptive, multi-objective job shop scheduling problem. Adaptive scheduling is necessary to deal with internal and external disruptions faced in real life manufacturing environments. Minimizing the mean tardiness for jobs to effectively meet customer due date requirements and minimizing mean flow time to reduce the lead time jobs spend in the system are optimized simultaneously. An asexual reproduction genetic algorithm with multiple mutation strategies is developed to solve the multi-objective optimization problem. The model is tested for single day and multi-day adaptive scheduling. Results are compared with those available in the literature for standard problems and using priority dispatching rules. The findings indicate that the genetic algorithm model can find good solutions within short computational time.

/pdf/adaptive-multi-objective-job-shop-scheduling-using-genetic-4vk3vah3su.pdf

Haritha Metta

Papers

Extending total life-cycle thinking to sustainable supply chain design

Integrating Sustainable Product and Supply Chain Design: Modeling Issues and Challenges

Design and Performance Evaluation of Sustainable Supply Chains: Approach and Methodologies

Optimized closed-loop supply chain configuration selection for sustainable product designs

Adaptive, multi-objective job shop scheduling using genetic algorithms