Four forces of supply chain social sustainability adoption in emerging economies
چهار نیروی پذیرش ماندگاری اجتماعی زنجیره تامین در اقتصادهای نوظهور-2018
Despite the growing stakeholder awareness on social sustainability issues, little is known about what influences firms to adopt social sustainability in their supply chain management practices and the benefits gained from such efforts. This is especially true for emerging economies in Asia and Southwestern Europe, where the social norms differ significantly. Building on stakeholders and institutional perspectives, we address the issue by exploring how pressures from customers, sustainability culture, government, and external stakeholders act as primary constituents of the firm in determining the extent to which firm consider supply chain social sustainability adoption in emerging economies. Further, we explore how such social sustainability adoption relates to the firm suppliers social performance, the buyers operational performance and the buying firms social reputation. We test the hypothesized model empirically using data from 244 Indian and 126 Portuguese firms. Our results are consistent with the hypothesized model; all factors show significant influence and positive links with the firms benefits.
keywords: Social sustainability |Emerging economy |Sustainability |Institutional mechanisms |Structural equation modeling
Which governance structures drive economic, environmental, and social upgrading? A quantitative analysis in the assembly industries
کدام ساختارهای نظارتی، به روزرسانی اقتصادی، محیطی و اجتماعی را تحریک می کنند؟ یک تحلیل کمّی در صنعتهای مونتاژ-2018
As industries are becoming increasingly global, researchers and practitioners are compelled to look at supply chains (SCs) from a global perspective. In this respect, the Global Value Chain (GVC) framework is particularly useful in understanding global dynamics because it relates the nature of relationships between firms (governance) to the possibilities for firms to move toward higher value-added activities (upgrading). Whereas the literature to date has explored these issues via qualitative approaches, this paper explores the effect that different forms of governance with suppliers and customers have on economic (product, process, functional), environmental and social upgrading based on an analysis of the International Manufacturing Strategy Survey (IMSS) data. The results show that participating to GVCs supports only some forms of upgrading and only under specific governance structures.
keywords: Supply chain management |Global value chain |Governance |IMSS |Upgrading
Triple-A and competitive advantage in supply chains: Empirical research in developed countries
مثلث A و مزیت رقابتی در زنجیره های تامین: تحقیق تجربی در کشورهای توسعه یافته-2018
Based on his own experience in a number of companies, Lee (2004) posits that the Triple-A (agility, adaptability and alignment) is essential for supply chain (SC) management to achieve a sustainable competitive advantage (CA). However, there is a lack of empirical research that analyzes the Triple-A SC and its impacts on CA. The objective of the present work is to address this omission and to provide empirical evidence on this topic using a multiple-informant, international sample from eight developed countries. A consistent partial least squares structural equation model (PLSc) is used on data for 151 manufacturing plants in three industrial sectors to determine whether agility, alignment and adaptability have individual and/or joint effects on achieving a CA in SCs. In relation to the individual effects, different CAs are achieved by each of the Triple-A variables. SC adaptability has been shown to have a significant positive relationship with all the dimensions of CA. SC alignment affects most of these dimensions, but SC agility only affects financial CA and flexibility CA. This research does, however, confirm the positive relationship for the joint effect of the Triple-A SC variables and CA. The effects are significant on all the CA measures except quality. Important implications can be drawn for managers by showing how SC levers can be set to improve performance indicators.
keywords: Agility |Adaptability |Alignment |Competitive advantage |Triple-A |Performance
Supply chain coordination with customer returns and retailers store brand product
هماهنگی زنجیره تامین با بازگشت های مشتری و حفظ نشان تجاری محصول توسط خرده فروش-2018
We examine a retailers Stackelberg supply chain, in which the retailer sells a product in the two brands: its own store brand (SB) and a national brand (NB) supplied by a well-established manufacturer. The two brands both face customer returns, and they differ in product quality. We examine the retailers decision on returns policies for the two brands (either Money Back Guarantee (MBG) or No Refund) and the effects of returns policies on the competition between the two brands. We identify the condition when the retailer should offer MBGs for both brands and we show that MBGs mitigate price competition between the two brands. MBGs are found to enhance the retailers profit and reduce the NB manufacturers profit. We examine coordination mechanisms and find that a centralized supply chain intensifies the competition and pushes the NB to reduce its retail price. A simple coordination contract that can achieve supply chain coordination to ensure a win-win for both the retailer and the NB manufacturer is proposed.
keywords: Supply chain management |Customer returns policy |Store brand
Multi-item bi-level supply chain planning with multiple remanufacturing of reusable by-products
برنامه ریزی زنجیره تامین چند بخشی دو سطحی با بازساخت چندگانه محصولات فرعی قابل استفاده مجدد-2018
In this paper, we investigate a multi-item production planning problem in which remanufacturable raw materials are used for manufacturing the final products. The used raw material (considered as a kind of by-product) needs to be remanufactured before being suitable to be used again to manufacture other final products. However, by-products can be remanufactured only a given number of times. The manufacturing and remanufacturing processes are performed in separated production processes with limited capacity. Each product may be produced using specific raw material references (newly purchased and/or remanufactured). The original industrial case study is based on the supply chain of Silicon-On-Insulator fabrication units. The problem is modeled as a mixed-integer linear mathematical program. Using numerical examples based on industrial data, the model is validated and its behavior is analyzed. Finally, some industrial and academic perspectives to this study are proposed.
keywords: Closed-loop supply chain planning |By-production |Remanufacturing |Bi-level capacitated lot-sizing
Missing link between sustainability collaborative strategy and supply chain performance: Role of dynamic capability
از دست رفتن رابطه بین راهبرد مشارکتی ماندگاری و عملکرد زنجیره تامین: نقش قابلیت پویا-2018
Formulation of right strategies is believed to be able to bring sustainable performance across triple bottom line (TBL), i.e., economic, environmental and social aspects within and across organizations. The purpose of this research is to investigate the role of misaligned collaboration and dynamic capabilities on TBL performance. Misaligned collaboration signifies those configurations of collaboration that deviate from ideal profile of collaboration. The ideal profile of collaboration corresponds to superior performance. Collaboration has been operationalized through joint planning and resource sharing (JPRS) and collaborative culture (CC) which brings relational aspects into collaboration. Specifically, this research provides important extensions to the theory of profile deviation and dynamic capabilities (DC) perspective in the context of sustainable supply chain performance and misaligned collaboration utilizing the empirical evidence. Uniqueness of the proposed model is established by comparing with four other alternate models. We find both JPRSmisalign (misalignment of JPRS from the ideal profile) and CCmisalign (misalignment of CC from the ideal profile) influence all dimensions of TBL through DCs. Only direct influence of CCmisalign on operational and social performance is significant. Results convey the need of building DCs when collaboration is misaligned with its ideal profile, and this misalignment produces detrimental effects on DCs and TBL performance. This research contributes significantly by building unique model to develop and maintain sustainability. Further, theoretical and managerial contributions are highlighted and contested with existing knowledge.
keywords: Sustainability |Supply chain performance |Collaborative strategy |Profile deviation |Survey research
Self-induced learning vs: project-based supplier development for production ramp-up with two supply options
یادگیری خود - تلقینی دربرابر توسعه تامین کننده مبتنی بر پروژه برای افزایش تولید با دو گزینه تامین-2018
Due to the important role suppliers play in the generation of customer value today, supplier development has attracted the attention of many companies in recent years. One challenge companies wishing to engage in supplier development face is to select both the right suppliers for supplier development as well as adequate supplier development measures and to align supplier development initiatives with the companys remaining sourcing activities. This problem becomes even more pressing during production ramp-up, where an increasing customer demand forces companies to expand the capacities of their supplier base as well. Albeit research on supplier development has enjoyed an increasing popularity in recent years, only a few mathematical models exist to date that support companies in making optimal supplier development decisions. The paper at hand contributes to closing this research gap by developing a decision support model that assists companies in selecting suppliers, in scheduling supplier development projects and in assigning order quantities to selected suppliers. In developing the proposed model, the paper accounts for the fact that suppliers often improve their performance also in the absence of supplier development, and thus considers both self-induced performance improvements at the suppliers as well as performance improvements induced by supplier development projects. The results of a numerical experiment imply that the supplier selection, order allocation and supplier development decisions are subject to complex interactions. The model proposed in this paper supports companies in fitting their supplier development activities to the requirements of the sourcing scenario they face with the intention to maximize profit.
keywords: Supplier development |Supplier management |Learning |Production ramp-up |Order allocation
Operational safety: The hidden cost of supply-demand mismatch in fashion and textiles related manufacturers
ایمنی عملیاتی: هزینه مخفی عدم هماهنگی عرضخه - تقاضا در سازنده های مربوط به مد و منسوجات-2018
Inventory management is a focus for operations management scholars and operations managers. Previous literature mainly investigated the relations between firms inventory and financial performance. However, the relation between firms inventory and non-financial performance (e.g., social outcome) is less clear. This study takes a fresh perspective to examine the impacts of supply-demand mismatch on firms safety performance. Based on a sample set from fashion and textiles related manufacturers, the analysis suggests that supply-demand mismatch (measured by inventory volatility) associates with a higher likelihood of safety incidents. The impact is more salient where the firms are operating in complex (labour intensive) and tightly coupled (high production capacity utilization) environments. This study provides significant contributions to the inventory management literature, occupational health and safety management literature and operational managers.
keywords: Inventory management |Occupational health and safety |Empirical study |Fashion and textiles
A supply chain coordination mechanism for common items subject to failure in the electronics, defense, and medical industries
یک مکانیزم هماهنگی زنجیره تامین برای کالاهای رایج درمعرض خرابی در صنایع برق، دفاعی و پزشکی-2018
Prior research on inventory management for imperfect items assumes that such items can be dealt with through salvage or rework. Increased repair costs and decreased production costs arising from modern production processes (e.g. miniaturization, 3D printing), however, have led suppliers to increasingly eschew such solutions in favor of items and components which are discarded upon failure rather than being reworked or scrapped. In this paper, we first determine optimal supplier and buyer inventory policies for items which fail and which cannot be reworked. We then develop a supply chain coordination mechanism which uses a common replenishment time to coordinate a supply chain consisting of a single supplier and n buyers. Our coordination mechanism yields a global minimum for system-wide costs. Numerical examples are provided to illustrate important conditions under which our model is particularly effective at reducing system-wide costs.
keywords: Inventory |Supply chain coordination |Supply chain management
Agribusiness time series forecasting using Wavelet neural networks and metaheuristic optimization: An analysis of the soybean sack price and perishable products demand
پیش بینی سری های زمانی کسب و کارهای کشاورزی با استفاده از شبکه های عصبی موج کوچک و بهینه سازی اکتشافی ذهنی متا: یک تحلیل روی قیمت یک گونی سویبان و تقاضای محصولات فاسد شدنی-2018
Brazilian agribusiness is responsible for almost 25% of the country gross domestic product, and companies from this economic sector may have strategies to control their actions in a competitive market. In this way, models to properly predict variations in the price of products and services could be one of the keys to the success in agribusiness. Consistent models are being adopted by companies as part of a decision making process when important choices are based on short or long-term forecasting. This work aims to evaluate Wavelet Neural Networks (WNNs) performance combined with five optimization techniques in order to obtain the best time series forecasting by considering two case studies in the agribusiness sector. The first one adopts the soybean sack price and the second deals with the demand problem of a distinct groups of products from a food company, where nonlinear trends are the main characteristic on both time series. The optimization techniques adopted in this work are: Differential Evolution, Artificial Bee Colony, Glowworm Swarm Optimization, Gravitational Search Algorithm, and Imperialist Competitive Algorithm. Those were evaluated by considering short-term and long-term forecasting, and a prediction horizon of 30 days ahead was considered for the soybean sack price case, while 12 months ahead was selected for the products demand case. The performance of the optimization techniques in training the WNN were compared to the well-established Backpropagation algorithm and Extreme Learning Machine (ELM) assuming accuracy measures. In long-term forecasting, which is considered more difficult than the short-term case due to the error accumulation, the best combinations in terms of precision was reached by distinct methods according to each case, showing the importance of testing different training strategies. This work also showed that the prediction horizon significantly affected the performance of each optimization method in different ways, and the potential of assuming optimization in WNN learning process.
keywords: Agribusiness |Artificial neural networks |Time series forecasting |Metaheuristics |Natural computing |Optimization