Showing papers by "Kannan Govindan published in 2017"
TL;DR: In this paper, the authors proposed a framework to evaluate sustainable supplier selection by using an integrated analytical hierarchy process (AHP), ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), a multi-criteria optimization and compromise solution approach.
610 citations
TL;DR: A comprehensive review of the publications in the field of reverse logistics and closed-loop supply chains is performed in this article, where the selection process is based on the articles accepted online in the Journal of Cleaner Production.
453 citations
TL;DR: In this article, a conceptual framework is proposed to classify various factors along the triple bottom line pillars of sustainability issues in the context of sustainable supply chain management (SSCM), and a comprehensive thematic analysis was performed on 1068 filtered articles from 2000 to 2015.
447 citations
TL;DR: A comprehensive review of studies in the fields of SCND and reverse logistics network design under uncertainty and existing optimization techniques for dealing with uncertainty such as recourse-based stochastic programming, risk-averse stochastics, robust optimization, and fuzzy mathematical programming are explored.
442 citations
TL;DR: One of the very first researches that presents a framework to integrate Green and Lean Six Sigma at a factory level, and hence offers the potential to be expanded to multiple factories or even supply chains.
Abstract: Evidence suggests that Lean, Six Sigma and Green approaches make a positive contribution to the economic, social and environmental (i.e. sustainability) performance of organisations. However, evide...
224 citations
TL;DR: This paper considers a two-echelon reverse supply chain with dual-recycling channels where the recyclable dealer acts as a Stackelberg game leader and the recycler act as a follower and proposes two complementary contracts which succeed in coordinating the reverse supplychain system and create a win-win situation.
220 citations
TL;DR: The results prove the feasibility of the presented model and the applicability of the developed solution methodology.
209 citations
TL;DR: In this article, a two-echelon reverse supply chain (RSC) with one manufacturer and one retailer who try to improve sustainable consumption by increasing customers' willingness to return used products through offering a discount or a direct fee in exchange for bringing back EOL products was considered.
Abstract: Due to the increasing number of end-of-life (EOL) products and their related environmental concerns, much attention has been paid to reverse logistics. In this paper, we consider a two-echelon reverse supply chain (RSC) with one manufacturer and one retailer who try to improve sustainable consumption by increasing customers’ willingness to return used products through offering a discount or a direct fee in exchange for bringing back EOL products. Afterward, the model is extended to consider a closed loop supply chain (CLSC). Quantity discounts and increasing fee contracts are proposed to coordinate supply chains. Then, government role in improving coordinated supply chains through donating different incentives (tax exemption and subsidy) to supply chain members are analyzed. Results show that total channel profit in the coordinated case is improved. Also, in the proposed models, each member has enough motives to participate in the plan. In addition, results demonstrate that government-sponsored incentives to the manufacturer are preferred to the retailer.
194 citations
TL;DR: In this article, the authors identify and prioritize the barriers pertaining to the achievement of sustainable consumption and production trends in a supply chain context, and propose an operational model to prioritize the identified barriers with the goal of improving overall performance.
187 citations
TL;DR: This work considers a manufacturer, as the patent holder, who produces new and remanufactured products and, simultaneously, he and a remanufacturer (as the licensee), competitively collects used products from the market in a two-period closed-loop supply chain (CLSC).
185 citations
TL;DR: This paper proposes a hybrid approach that combines the revised Simos procedure, PROMETHEE methods, algorithms for constructing a group compromise ranking, and robustness analysis, and introduces and applies some original procedures based on Binary Linear Programming.
Abstract: The food sector has a prodigious focus and is constantly gaining in importance in today’s global economic marketplace. Due to an increasing global population, society faces a greater challenge for sustainable food production, quality, distribution, and food safety in the food supply chain. Adopting green supply chain management (GSCM) elements is essential for utilizing the food supply chain in an environmentally benign way. As a solution to the above challenge, the economic and green characteristics for supplier selection in green purchasing are studied in this paper. For an organization, the evaluation and selection of the green supplier is a vital issue due to several tangible and intangible criteria involved. Accordingly, we apply multiple criteria decision aiding techniques. We propose a hybrid approach that combines the revised Simos procedure, PROMETHEE methods, algorithms for constructing a group compromise ranking, and robustness analysis. At first, the revised Simos procedure is used to derive the criteria weights. Next, the PROMETHEE method is applied to rank the suppliers according to each Decision Maker׳s (DM׳s) preferences. Then, the compromise ranking is constructed to minimize the distance of the individual׳s rankings from the solution adopted by the whole group. For this purpose, we introduce and apply some original procedures based on Binary Linear Programming. Finally, the results are validated against the outcomes of robustness analysis. The applicability and efficiency of the proposed approach is endorsed with a case study in an Indian food industry.
TL;DR: A multi-stage stochastic program is developed that can be applied to a multi-period supply chain network design where demands of customers depend on facilities serving them based on their delivery lead-times and disruptions’ effect on facilities’ capacity is modeled.
Abstract: We address a multi-period supply chain (SC) network design where demands of customers depend on facilities serving them based on their delivery lead-times. Potential customer demands are stochastic, and facilities’ capacity varies randomly because of possible disruptions. Accordingly, we develop a multi-stage stochastic program, and model disruptions’ effect on facilities’ capacity. The SC responsiveness risk is limited and, to obtain a resilient network, both mitigation and contingency strategies are exploited. Computational results on a real-life case study and randomly generated problem instances demonstrate the model’s applicability, risk-measurement policies’ performance, and the influence of mitigation and contingency strategies on SC’s resiliency.
TL;DR: Analysis of the pricing and reverse channel choice decision issues in a closed-loop supply chain shows that the ranking of certain optimal values among the three optional models are independent of the competition intensity.
TL;DR: In this article, a mathematical model based on eco-efficiency concepts is suggested to overcome the trade-offs between lean and green practices to support decision making and to help managers identify the best set of green and lean supply chain management practices to improve their ecoefficiency.
Abstract: This manuscript proposes a model to support decision making and to help managers identify the best set of green and lean supply chain management practices to improve their eco-efficiency. To attain this objective, a mathematical model based on eco-efficiency concepts is suggested to overcome the trade-offs between lean and green practices. To illustrate the model application, a case study from an automotive supply chain is presented. Some management practices that are instituted for green or lean benefits have opposite effects on the environmental and economic performance of companies. One of the main findings of our study is that not all companies belonging to the same supply chain can be absolutely lean or green. There should be compromises in the individual companies’ behaviour so the environmental and economic constraints of the supply chain are both satisfied. The proposed model represents a strategic framework to support the design of eco-efficient supply chains.
TL;DR: In this article, the authors developed a structural model to evaluate the sustainable consumption and production adoption drivers and to improve sustainability aspects in the supply chain scenario under uncertain environments, using grey-based decision-making trial and evaluation laboratory technique.
Abstract: Sustainable Consumption and Production (SCP) patterns are becoming important in the implementation of sustainability in industrial contexts. In this sense, this study uniquely focuses on developing a structural model to evaluate the sustainable consumption and production adoption drivers and to improve sustainability aspects in the supply chain scenario under uncertain environments. Initially, fourteen drivers related to sustainable consumption and production adoption were selected from the literature and expert feedback. Then, the grey based Decision Making Trial and Evaluation Laboratory technique was used; this approach not only helps to identify the causal relationships between the selected drivers but also helps to evaluate the strength of their interrelationships. The findings indicate that ten drivers are considered influencing drivers and four drivers are called influenced drivers. “Governmental policies and regulations to develop sustainable consumption and production focused system” and “Management support, dedication and involvement in sustainable consumption and production implementation” have been found as the most influencing drivers and “Gaining the market edge and improving the overall performance” and “Initiatives and promotional schemes regulated by various agencies in sustainable consumption and production implementation” the most easily influenced drivers. This work features an Indian automotive case example to show the proposed model applicability. The finding of this work provide a structural support to the managers by knowing the cause (influencing) and effect group (influenced) drivers in sustainable consumption and production implementation in industrial supply chains. By knowing the cause and effect group drivers, managers can more easily analyze the relevant issues in sustainable consumption and production adoption on the shop floor and, consequently, will be better able to improve overall performance. Finally, the unique contributions and limitation of the work are highlighted to provide a foundation for future research.
TL;DR: A systematic literature review of maturity models with sustainability concerns is presented in this paper, which provides insights into methodological issues related to maturity models, namely the research objectives; the research methods used to develop, validate and test them; the scope; and the main characteristics associated with their design.
Abstract: A systematic literature review of supply chain maturity models with sustainability concerns is presented. The objective is to give insights into methodological issues related to maturity models, namely the research objectives; the research methods used to develop, validate and test them; the scope; and the main characteristics associated with their design. The literature review was performed based on journal articles and conference papers from 2000 to 2015 using the SCOPUS, Emerald Insight, EBSCO and Web of Science databases. Most of the analysed papers have as main objective the development of maturity models and their validation. The case study is the methodology that is most widely used by researchers to develop and validate maturity models. From the sustainability perspective, the scope of the analysed maturity models is the Triple Bottom Line (TBL) and environmental dimension, focusing on a specific process (eco-design and new product development) and without a broad SC perspective. The dominant characteristics associated with the design of the maturity models are the maturity grids and a continuous representation. In addition, results do not allow identifying a trend for a specific number of maturity levels. The comprehensive review, analysis, and synthesis of the maturity model literature represent an important contribution to the organization of this research area, making possible to clarify some confusion that exists about concepts, approaches and components of maturity models in sustainability. Various aspects associated with the maturity models (i.e., research objectives, research methods, scope and characteristics of the design of models) are explored to contribute to the evolution and significance of this multidimensional area.
TL;DR: This paper addresses a multi-stage and multi-period supply chain network design problem in which multiple commodities should be produced through different subsequent levels of manufacturing processes, formulated as a two-stage stochastic program under stoChastic and highly time-variable demands.
TL;DR: In this paper, the authors examined the extent to which product returns motivate manufacturing firms to adopt closed-loop supply chain activities that influence the effectiveness of reverse supply chains and found that product returns are a significant predictor of firm performance in reverse flow chains.
TL;DR: In this paper, the authors aim to prioritise the indicators to enhance the organizational supply chain effectiveness from an industrial perspective, which will help industries to develop strategies and develop strategi.
Abstract: In this contribution, we aim to prioritise the indicators to enhance the organisational supply chain’s (SC) effectiveness from an industrial perspective It will help industries to develop strategi
TL;DR: In this paper, a two-stage, stochastic model is proposed to study capacity expansion problem in logistics under cap-and-trade and carbon tax regulations. And the optimal capacity expansion and production decisions are obtained, and the effects of carbon emission regulations on capacity expansion are studied.
Abstract: This paper builds a two-stage, stochastic model to study capacity expansion problem in logistics under cap-and-trade and carbon tax regulations. The optimal capacity expansion and production decisions are obtained, and the effects of carbon emission regulations on capacity expansion are studied. Through analytical study and a real case numerical analysis, we find that the carbon tax exhibits different impacts on optimal capacity expansion decisions in low tax rate and high tax rate, and the volatility of capacity investment cost has a larger impact on optimal capacity expansion than that of production cost.
TL;DR: In this paper, the authors proposed an eco-efficient closed loop supply chain (CLSC) design for extending the existing supply chain of an Indian firm that assembles inkjet printers.
TL;DR: In this article, the impact of dynamic capabilities (DCs) on a firm's performance is explored by offering a review of literature to identify the various associated DCs and performance measures of a firm cited in peer reviewed journals.
TL;DR: A novel simulation-based simulated annealing algorithm is developed to address large-sized test problems and results indicate the applicability of the model as well as the efficiency of the solution approach.
Abstract: This paper addresses design and planning of an integrated forward/reverse logistics network over a planning horizon with multiple tactical periods. In the network, demand for new products and potential return of used products are stochastic. Furthermore, collection amounts of used products with different quality levels are assumed dependent on offered acquisition prices to customer zones. A uniform distribution function defines the expected price of each customer zone for one unit of each used product. Using two-stage stochastic programming, a mixed-integer linear programming model is proposed. To cope with demand and potential return uncertainty, Latin Hypercube Sampling method is applied to generate fan of scenarios and then, backward scenario reduction technique is used to reduce the number of scenarios. Due to the problem complexity, a novel simulation-based simulated annealing algorithm is developed to address large-sized test problems. Numerical results indicate the applicability of the model as well as the efficiency of the solution approach. In addition, the performance of the scenario generation method and the importance of stochasticity are examined for the optimization problem. Finally, several numerical experiments including sensitivity analysis on main parameters of the problem are performed.
TL;DR: This preface provides a concise review of critical research issues regarding innovative supply chain optimization models with multiple uncertainty factors and introduces the special issue’s research papers and their respective insights.
Abstract: Uncertainty is an inherent factor that affects all dimensions of supply chain activities. In today’s business environment, initiatives to deal with one specific type of uncertainty might not be effective since other types of uncertainty factors and disruptions may be present. These factors relate to supply chain competition and coordination. Thus, to achieve a more efficient and effective supply chain requires the deployment of innovative optimization models and novel methods. This preface provides a concise review of critical research issues regarding innovative supply chain optimization models with multiple uncertainty factors. It also introduces the special issue’s research papers and their respective insights.
TL;DR: A novel multi-stage stochastic program is proposed to simultaneously make tactical decisions including products’ prices and strategic redesign decisions to solve a multi-period supply chain network redesign problem in which customer zones have price-dependent Stochastic demand for multiple products.
TL;DR: In this article, the authors investigated the determinants of CDM adoption and its impact on companies' performances by surveying 91 companies in the energy, agriculture, and forestry sectors in Malaysia implementing CDM projects.
TL;DR: In this paper, the authors investigated the barriers of product return management among automotive manufacturing firms in Malaysia and found that the resource barrier has a significant effect on the level of adoption of product returns.
TL;DR: In this article, a hybrid approach for solving traditional flowshop scheduling problems to reduce the makespan (total completion time) is proposed, where a combination of Decision Tree (DT) and Scatter Search (SS) algorithms are used.
Abstract: This work proposes a hybrid approach for solving traditional flowshop scheduling problems to reduce the makespan (total completion time). To solve scheduling problems, a combination of Decision Tree (DT) and Scatter Search (SS) algorithms are used. Initially, the DT is used to generate a seed solution which is then given input to the SS to obtain optimal / near optimal solutions of makespan. The DT used the entropy function to convert the given problem into a tree structured format / set of rules. The SS provides an extensive investigation of the search space through diversification. The advantages of both DT and SS are used to form a hybrid approach. The proposed algorithm is tested with various benchmark datasets available for flowshop scheduling. The statistical results prove that the proposed method is competent and efficient for solving flowshop problems.
TL;DR: In this article, the authors describe 5G wireless communications envision very high data rates (typically of Gbps order), extremely low latency, significant increase in base station capacity and improvement in users' perceived perceived reliability.
Abstract: Emerging 5G wireless communications envision very high data rates (typically of Gbps order), extremely low latency, significant increase in base station capacity and improvement in users’ perceived...
TL;DR: Contingency theory, climate change, and low-carbon operations management is discussed in this paper, where five papers have been accepted for publication, including the first paper, which addresses the following research questions:
Abstract: Introduction Greenhouse gas emissions resulting from human activity are increasingly causing changes in our climate, the consequences of which, such as global warming, will be predictably severe. As a result, low carbon emission has become a national development strategy in many countries. For example, some developed countries have inspired a paradigm shift in industrial and technical competition by increasing investment in the low-carbon economic field; formulating and implementing various bills, plans and strategies; and strengthening the implementation of low-carbon strategies. Developing countries, such as China, India, Brazil, Russia and South Africa, have also placed great importance on low-carbon development by issuing a series of laws and regulations to oversee the whole flow of the manufacturing, logistics, circulation and recycling of a product. Controlling carbon emissions, a concern originally stemming from pure transportation or production systems, has now become a serious challenge in the field of supply chain management (SCM). A redesign of the whole global supply network is needed to achieve a coordinated supply chain system under the latest, increasingly restrictive regulations. As a result, many critically important research questions remain unresolved, such as how does one promote low-carbon SCM and erase sustainability barriers in developing countries. Under these circumstances, it is evident that there is an urgent need for research related to emerging economies because traditionally these nations serve as a production base for many products’ global supply chains in the “non-carbon concern era”. For this special issue we received a total of 26 submissions, and, after a rigorous review and revision process, we accepted five papers for publication. In the following paragraphs, we provide a short review of each of the accepted papers, and we emphasize its major contribution. The first paper, “Contingency theory, climate change, and low-carbon operations management”, addresses the following research questions: