Introducing an application of an industry 4:0 solution for circular supply chain management
معرفی کاربرد راه حل صنعت 4:0 برای مدیریت حلقه تأمین دایره ای-2021
In recent years, sustainable supply chain management practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. Within this perspective, a circular approach has been developed in the supply chain literature. Circular economy models and solutions assisted by industry 4.0 technologies have been developed to transform products in the end of their life cycle into new products with different use. In this paper an industry 4.0 waste-to- energy solution is developed and applied in a pilot case study comprised by a real-world supply chain to evaluate the sustainability performance of circular supply chain management (CSCM). The ﬁndings show that redesigning supply chains for circular economy with the use of Industry 4.0 technologies, can enable circular supply chain management. Clear beneﬁts are provided linking the proposed solution to the six circular economy dimensions of the ReSOLVE model i.e. regenerate, share, optimize, loop, virtualise, and exchange. Improved availability of personnel (5% and 15%) and ﬂeet resources (15%) are identiﬁed as some of the key quantitative beneﬁts, while supply chain traceability through the full visibility and automation offered by the proposed solution, are some of the key non-quantiﬁable out- comes. The present work seeks to contribute to the existing literature by providing empirical evidence of how industry 4.0 and circular economy are applied in practice. Implications for managers and policy makers, along with the study limitations and further research paths are also presented.© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Circular economy | Circular supply chain management (CSCM) | Industry 4.0 | Waste-to-energy | ReSOLVE model
Environmental hotspots analysis: A systematic framework for food supply chains and implementation case in the UK poultry industry
تجزیه و تحلیل کانون های محیطی: چارچوبی سیستماتیک برای زنجیره های تأمین مواد غذایی و موارد پیاده سازی در صنعت طیور انگلیس-2021
Environmental sustainability analyses of end-to-end food supply chain (SC) operations need to be per- formed regularly to accommodate reconﬁguration opportunities arising in the global business landscape. This research scrutinises the pertinent literature and identiﬁes the challenges of data availability, data obsolescence, computational complexity, and data speciﬁcity that associate to well-established environmental assessment methodologies, and proposes a stepwise approach that considers key players and processes for generating “close to real-time snapshots” of the main environmental hotspots for the focus ﬁrm. The applicability of the proposed systematic approach is demonstrated via an implementation at a resource-intensive sector of signiﬁcant scale, i.e., the UK poultry industry. Overall, this research con- tributes to the SC environmental sustainability management domain by guiding the mapping and identiﬁcation of environmental hotspots across end-to-end networks of operations in the form of a stepwise framework, and through articulating several research propositions.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Environmental sustainability | Hotspots analysis | Food supply networks | Supply chain management | Systematic approach
Green supply chain management and clean technology innovation: An empirical analysis of multinational enterprises in China
مدیریت زنجیره تامین سبز و نوآوری در فناوری پاک: تجزیه و تحلیل تجربی شرکت های چند ملیتی در چین-2021
This study identifies the impact of green supply chain management (GSCM) on clean technology innovation (CTI) by enterprises in China as well as compares the effects of forward and backward GSCM and the differences by industry and home country. The effect of CTI on GSCM is tested by 501 samples of mostly multinational enterprises in China from 2014 to 2016. The results indicate that CTI benefits from GSCM, which remains robust to a series of sensitivity test. And different management directions show great differences, where the backward GSCM has a stronger promotion effect on CTI than the forward GSCM. Moreover, light polluting industries and capital-intensive industries have stronger incentives to adopt GSCM than heavy-polluting industries and labour intensive industries. And domestic companies perform better than foreign companies.
Keywords: Green supply chain | Clean technology innovation | Supply chain management direction | Multinational enterprises
Integrating corporate website information into qualitative assessment for benchmarking green supply chain management practices for the chemical industry
ادغام اطلاعات وب سایت شرکت ها در ارزیابی کیفی برای محک زدن شیوه های مدیریت زنجیره تامین سبز برای صنایع شیمیایی-2021
The China’s chemical industry has been endeavoring to promote sustainable development through practicing green supply chain management (GSCM). This paper proposes a multi-criteria decision framework with twenty practices to guide companies in the industry to enact GSCM effectively. The exploratory factor analysis (EFA) has been used to cluster the proposed practices. We found five aspects, including economic initiatives, environmental management, eco-design, resource recycling, and stakeholder and employee, constitute the underlying structure of GSCM. A mixed decision tool combining the entropy weight method (EWM) and the analytic hierarchy process (AHP) has been developed and applied to identify key factors. Official website information has been collected and used to analyse the website contents of five benchmarking companies in the China’s chemical industry. The results reveal that the aspects of environmental management, eco-design and resource recycling are the most important GSCM themes. Moreover, the top five practices are top management support, performing life cycle assessment, managing environmental risks, advancing recycling technologies and integrating reverse logistics. Conceptual and practical implications are discussed.
Keywords: Environmental management | Eco-design | Resource recycling | Entropy weight | Analytic hierarchy process | Decision analysis
Inventory model for sustainable operations of a closed-loop supply chain: Role of a third-party refurbisher
مدل موجودی برای عملیات پایدار یک زنجیره تأمین حلقه بسته: نقش یک مرمت کننده شخص ثالث-2021
Journal Pre-proof This paper investigates the joint decision on inventory and refurbishing strategies in a closed-loop supply chain, consisting of a manufacturer responsible for the production and first-market sales and a third-party refurbisher responsible for the refurbishment and second market. Based on a game-theoretic model, we investigate the effects of supply chain structures on the production operations, sales price of a refurbished product, profits and environmental performance. Through numerical analyses, we reveal that the integrated system yields higher first-market sales and a larger production lot size, while the decentralized one shows higher second-market sales and a larger refurbishing lot. Interestingly, the integrated system sets the higher price for the refurbished item due to channel conflict issues. Efforts to increase the second-market sales can harm the over- all supply chain profit by leading to the decrease in the higher-margin first-market sales. We also show that the difference in pricing decisions and inventory holding cost components allows a better operational performance of the third-party refurbishers process in the decentralized system. Then, it leads to the better environmental performance in the decentralized system, enhancing the refurbishing rate and sales of refurbished items while reducing scrap costs. By investigating the overall performance of integrated and decentralized supply chains, we offer important implications to practicing supply chain managers by revealing how the third-party refurbisher can help the sustainable operations of a closed-loop supply chain. We also contribute to the body of knowledge by incorporating pricing and lot sizing issues into the context of closed-loop supply chain management.
Keywords: inventory | closed-loop supply chain | sales return | refurbishment
Who will take on green product development in supply chains? Manufacturer or retailer
چه کسی توسعه محصول سبز را در زنجیره های تامین به عهده خواهد گرفت؟ تولید کننده یا خرده فروش-2021
: This paper investigates the optimal decisions, profits and social welfare in a green supply chain (GSC) when the manufacturer or retailer conducts green product development. Two Stackelberg game models are constructed here: the manufacturer-led green product development model (MD model) and retailer-led green product development model (RD model), and it is assumed that the green product developer is risk-averse. Then the optimal decisions and members’ profits under two models are obtained. Through comparing them, the results show that the product greenness and leader’s profit are always higher in MD model, but in which model the retail price, wholesale price and follower’s profit are higher/lower is related to the cost coefficient of green product development, the leaders’ risk aversion, and demand uncertainty. Moreover, the risk aversion and demand uncertainty have a negative impact on most decisions and profits, but their impact on followers’ profits under two models and the wholesale price of RD model are still affected by the cost coefficient of green product development. Finally, numerical experiments are used to compare the total profits and social welfare under two models. The results indicate that in most cases, the GSC’s total profit under RD model is higher, but the social welfare under MD model is higher.
Keywords: Green product development | Green supply chain management | Stackelberg game | Risk aversion
Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus
تلاش بهینه تبلیغات عمومی و تجاری در یک زنجیره تأمین غیرمتمرکز با توجه به مازاد مشتری-2021
While the previous researches of advertising efforts decisions focus on only the firms’ profit target, no literatureintroduces corporation social responsibility target into advertising efforts decisions of a supply chain (SC). To fill this gap, we consider a two-stage SC with a manufacturer and a retailer where the SC members consider the customer surplus. Both the retailer and the manufacturer can invest in generic advertising efforts to influence and increase the products’ sales volumes. This paper investigates the following four scenarios: (1) The retailer cares the customer surplus (Model I); (2) The manufacturer cares the customer surplus (Model II); (3) Both the retailer and the manufacturer care the customer surplus (Model III); (4) We then extend the model III to the case that the manufacturer invests in both the generic and brand advertising efforts (Model IV). The objective of this paper is to determine the optimal retail price, the optimal advertising efforts, and the optimal profits of SC members, and find the influence of customer concern level on the SC performance. Finally, numerical examples are conducted to investigate the influence of the customer concern levels of the retailer or the manufacturer on the profits of the SC members and the entire SC. We also study the joint impacts of the customer concern levels of the retailer and the manufacturer on the SC performance. We find that the SC obtains the highest profits when the retailer’s customer concern level and the manufacturer’s customer concern level are relatively high, and the best cooperative strategy for the retailer and the manufacturer is that they improve customer concern level simultaneously.
Keywords: Supply chain management | Advertising efforts | Pricing strategies | Consumer surplus
A supply chain model with service level constraints and strategies under uncertainty
یک مدل زنجیره تامین با محدودیت ها و استراتژی های سطح خدمات تحت عدم قطعیت-2021
In the current socio-economic situation, the daily demand for essential goods in the business sector is always changing owing to various unavoidable reasons. As a result, choosing the right method for profitable business has become quite tricky. This study introduces different business strategies based on constant and fuzzy demands. There are two types of constraints considered in this model to avoid the backorder cost. However, combining the service-level constraints with the constant and fuzzy demand, this study compares the total costs, and finally, the best strategy is established. Moreover, investing a small amount, this model improves the quality of the products and reduces the vendor’s setup cost. Depending on the number of transported products, this model follows the transportation discount policy for hassle-free delivery of the products with a minimum delivery rate. The Kuhn-Tucker optimization technique is employed, and global optimality is verified numerically, analytically using the Hessian matrix. This model’s robustness is discussed through a comparative study, numerical examples, sensitivity analysis, graphical representation, and managerial insights. Finally, some concluding remarks along with future extensions are discussed.
KEYWORDS: Supply chain management (SCM) | Controllable lead time | Fuzzy demand | Transportation discounts | Distribution-free approach (DFA) | Service level constraints (SLC)
Analysis of the innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach
تجزیه و تحلیل استراتژی های نوآوری برای مدیریت زنجیره تامین سبز در صنعت انرژی با استفاده از فاصله ترکیبی مبتنی بر QFD ، ارزش تصمیم گیری فازی شهودی-2021
This study aims to analyze the innovation strategies for the green supply chain management with QFD (quality function deployment) multidimensionally. The novelty of the study is to define the criteria of green supply chain for each stage of QFD and propose a hybrid model by IVIF (interval-valued intuitionistic fuzzy) DEMATEL (decision making trial and evaluation laboratory) and IVIF MOORA (Multi-Objective Optimization by Ratio Analysis) respectively. The results demonstrate that understanding the customer expectations with customer relation management is the most important innovation strategy for the green supply chain management in en- ergy industry with the consecutive stages of QFD whereas benchmarking the competitive market environment has relatively the last seat in the ranking. Hence, it is recommended that energy companies should have an effective customer relationship management. In this context, these companies should make a detailed analysis to learn what their customers directly expect from them. With the help of this issue, these companies should generate their product and services based on these expectations. Additionally, it is also stated that new service and product development is also essential for energy companies to improve their innovativeness. For this pur- pose, a research and development department should be created, and the qualified people should be employed. Additionally, different opinions should be collected from various parties, such as customers, employees, and suppliers. Since customers who are satisfied will prefer these companies, the energy companies can catch the opportunity to increase their market share.
Keywords: GSCM | Energy industry | Innovation | QFD | IVIF DEMATEL | IVIF MOORA
Analysis of cold-chain service outsourcing modes in a fresh agri-product supply chain
تجزیه و تحلیل حالت های برون سپاری خدمات زنجیره سرد در یک زنجیره تأمین محصول جدید محصولات کشاورزی-2021
Motivated by the wide utilization of cold-chain service outsourcing, this paper examines the effect of outsourcing mode on decisions and profits by developing game-theoretic models for a fresh agri-product supply chain consisting of one supplier, one retailer, and one third-party logistics provider. There are two service outsourcing modes: supplier-outsourcing and retailer- outsourcing. Supplier (retailer)-outsourcing represents that the supplier (retailer) outsources cold-chain service to the logistics provider. When the supplier is the leader, we find that: (i) under traditional quantity discount scheme, the retailer prefers retailer-outsourcing if both service cost and market size are low, or service cost is high. Otherwise, supplier-outsourcing is better if service cost is low and market size is high. How the supplier prefers outsourcing mode is similar to the retailer. Therefore, there may exist an outsourcing mode preferred by both the supplier and the retailer. (ii) Retailer-outsourcing is more profitable to the logistics provider than supplier- outsourcing. (iii) Service level-dependent quantity discount is an important factor determining which outsourcing mode is beneficial to the retailer and the logistics provider. Further, we consider an alternative case in which the retailer is the leader, and we uncover the conditions under which an outsourcing mode outperforms the other. Comparing the two cases, we find that the decision sequence between the supplier and the retailer is important for which outsourcing mode is beneficial to supply chain members.
Keywords: Supply chain management | Cold-chain service | Outsourcing mode | Third-party logistics | Game theory