Life cycle assessment in the food supply chain: a case study

This research aims at assessing the environmental impact of the poultry supply chain from cradle to grave using case study research and also life cycle assessment (LCA). While a limited number of generic poultry production LCA studies have been published, fewer yet assess the whole process of a specific organisation, none comparing the increased impact of further processing. Our results show that irrespectively of the impact assessment method utilised, the process of producing portions is considerably higher in total environmental impact due to the extra raw material required to produce the same mass into retail. Our research contributes to the growing number of LCA studies and could be used by practitioners for comparison against national and international averages. From a theoretical point of view, this research provides new insights into the relationship between vertically integrated supply chains and environmental performance which has not been examined in the past.     

Integrating sustainable development in the supply chain: The case of life cycle assessment in oil and gas and agricultural biotechnology

It is widely accepted that firms play an important stewardship role in addressing sustainable development concerns. A key challenge in this role is to balance the often conflicting pressures created by sustainable development—firm-level economic performance versus environmental degradation and social disruption. Drawing on complexity theory, risk management, stakeholder theory and the innovation dynamics literature, we discuss the problems of integrating sustainable development concerns in the supply chain, specifically the applicability of life cycle assessment (LCA). Many authors have emphasized the importance of the “cradle to grave” approach of LCA in optimizing closed-loop supply chains, improving product design and stewardship. Based on two case studies (an agricultural biotechnology and an oil and gas company) with supporting data collected from key stakeholders, we argue that sustainable development pressures have increased complexities and presented ambiguous challenges that many current environmental management techniques cannot adequately address. We provide a framework that addresses these deficiencies and discuss implications for practitioners and management theory.     

Cross-functional alignment in supply chain planning: A case study of sales and operations planning

In most organizations, supply chain planning is a cross-functional effort. However, functional areas such as sales, marketing, finance, and operations traditionally specialize in portions of the planning activities, which results in conflicts over expectations, preferences, and priorities. We report findings from a detailed case analysis of a supply chain planning process that seemingly weathers these cross-functional conflicts. In contrast to traditional research on this area, which focuses on incentives, responsibilities, and structures, we adopt a process perspective and find that integration was achieved despite formal functional incentives that did not support it. By drawing a distinction between the incentive landscape and the planning process, we identify process as a mediator that can affect organizational outcomes. Thus, organizations may be capable of integration while functions retain different incentives and orientations to maintain focus on their stakeholders’ needs. Through iterative coding, we identify the attributes of the planning process that can drive planning performance—information, procedural, and alignment quality—but also find evidence that achieving alignment in the execution of plans can be more important than informational and procedural quality. In addition to process attributes, we also identify social elements that influenced the performance of the planning process and place the information processing attributes within a broader social and organizational context.     

Economic impact of enhanced forest inventory information and merchandizing yards in the forest product industry supply chain

Forest products industry should maximize the value of timber harvested and associated products in order to be competitive in global markets. Enhanced forest inventories and merchandizing yards can help in maximizing value recovery in the forest products supply chain. This study develops an optimization model to analyze the economic impact of enhanced forest inventory information and merchandizing yard operations in the forest products supply chain. The application of the model is demonstrated by using a case study of a hypothetical forest industry in northwestern Ontario, which obtains four log assortment grades from the surrounding eight forest management units. The model analyzes five different scenarios with 0%, 25%, 50%, 75%, and 100% certainty of tree quality in forest inventory information. The results of the study show that with full certainty of tree quality information, it is possible to gain 49% in gross profit in comparison with a scenario with no certainty. The usefulness of enhanced forest inventory and merchandizing yard in the entire supply chain of forest products industry is recognized by maximizing total value of wood fiber (by allocating right log to the right product), reducing fluctuations in raw wood fiber supply, and minimizing inventory carrying costs and lost sales.     

Operational excellence in a green supply chain for environmental management: A case study

Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green standards. The assessment of the performance of green supply chain management (GSCM) requires a holistic view for the whole supply chain. In this context, given that becoming green in the operational side of activities is essential, the performance assessment of operational activities also requires a holistic view to be taken. In this paper, an attempt has been made to improve the performance of GSCM by examining and evaluating the green operational excellence of a hot dip galvanizing company. The framework includes several green operational excellence key criteria, namely, quality management, efficiency management, green production/manufacturing, eco‐packaging, and green design. First, the weights of the criteria and the respective measurements were found by fuzzy analytic network process. Then, the overall operational performance score was found by a weighted scoring method. Finally, both managerial and theoretical implications were suggested according to the outcomes and findings of the case study.     

Gaining sustainable development by green supply chain innovation: Perspectives of specific investments and stakeholder engagement

Despite general attention has been given to sustainable development and green innovation, little empirical effort has been made to explore the factors influencing green innovation performance in the context of supply chain relationships, especially in emerging countries like China. To address this research gap, from the perspectives of specific investments, we examine the role of specific investments in relation to the outcome of green supply chain innovation. Drawing on knowledge management theory, we propose that knowledge transfer plays a mediating role underlying the relationship. On the basis of the stakeholder involvement theory, we argue that partner social responsibility plays moderating roles not only in specific investments—green supply chain innovation performance link—but also in the link of knowledge transfer and performance. We tested the proposed relationships with a sample consisted of 331 questionnaires and validated responses from 187 high‐tech firms in China. The results generally support the proposed hypotheses, and the integrative model—moderated mediation—is also supported. As such, this study contributes to understand about how specific investments affect the performance of green supply chain innovation, providing new insights on stakeholder involvement and knowledge transfer in green supply chain innovation management.     

Getting back into the swing of things: The adaptive path of purchasing and supply management in enhancing supply chain resilience

The COVID-19 crisis posed significant challenges to global supply chains (SCs) and exposed their vulnerability to disruption. As SCs have evolved into complex structures comprising a multitude of globally dispersed companies that collaborate closely with one another, purchasing and supply management (PSM) have played a key role in addressing the crisis. The existing PSM measures for increasing supply chain resilience (SCRES) were stress tested and it became evident that these methods are applicable only to a limited extent due to their static perspective and their lack of a network character. Thus, this paper examines the role of PSM by identifying implemented response measures. By conducting 40 semi-structured interviews with experts from original equipment manufacturers and first-tier suppliers in the German automotive industry, a comprehensive overview of the industry was obtained. To reflect the network nature of the industry and the adaptive path of PSM, the data analysis is framed by resource dependence theory and the adaptive cycle approach. The results of the study are 25 response measures of PSM to enhance SCRES, categorized into three waves of measures: initial measures upon the occurrence of the disruption, temporary measures during the disruption, and post-disruption measures. In this way, the study contributes to the existing literature by demonstrating that PSM takes on a major role in increasing resilience by implementing diverse response measures. In addition, the study shows that PSM follows the path of an adaptive cycle, and that after the disruption and the initial and temporary measures, PSM adapts, which is reflected in the post-disruption measures. For practitioners, the study provides a list of response measures to increase resilience that can be used to review existing measures or implement new ones.     

Postponement strategy for international transfer of products in a global supply chain: A system dynamics examination

This paper contributes to research on “postponement” strategy in the context of a global production–distribution system of an automobile manufacturer. It proposes a model that integrates multiple considerations germane to global supply chains. Postponement is important in this context because it is necessary to consider international transfers and tariffs, and it is important to appropriately account for the impact of postponement on total costs. Consideration of several key variables such as shipping point, customs tariff, and cost differences between countries is essential to derive full benefits from postponement strategy in global supply chains. International transfer of goods among countries in global automobile industry is complex and dynamic because of the multitude of factors that must be considered. The paper develops insights regarding postponement strategy in global supply chains via a system dynamics simulation model. The model draws on the experiences of a Korean automobile manufacturer with operations in developing and developed countries.     

A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study

In uncertain circumstances like the COVID-19 pandemic, designing an efficient Blood Supply Chain Network (BSCN) is crucial. This study tries to optimally configure a multi-echelon BSCN under uncertainty of demand, capacity, and blood disposal rates. The supply chain comprises blood donors, collection facilities, blood banks, regional hospitals, and consumption points. A novel bi-objective Mixed-Integer Linear Programming (MILP) model is suggested to formulate the problem which aims to minimize network costs and maximize job opportunities while considering the adverse effects of the pandemic. Interactive possibilistic programming is then utilized to optimally treat the problem with respect to the special conditions of the pandemic. In contrast to previous studies, we incorporated socio-economic factors and COVID-19 impact into the BSCN design. To validate the developed methodology, a real case study of a Blood Supply Chain (BSC) is analyzed, along with sensitivity analyses of the main parameters. According to the obtained results, the suggested approach can simultaneously handle the bi-objectiveness and uncertainty of the model while finding the optimal number of facilities to satisfy the uncertain demand, blood flow between supply chain echelons, network cost, and the number of jobs created.     

Evaluation of critical constructs for measurement of sustainable supply chain practices in lean‐agile firms of Indian origin: A hybrid ISM‐ANP approach

The purpose of this paper is to evaluate the critical criteria that are influencing the successful implementation of sustainable supply chain practices (SSCP) in the lean‐agile manufacturing firm. From the systematic literature review and field professionals' opinion, various criteria that are influencing sustainable supply chain were identified. Data were collected from 16 experts and analysed by an integrated approach of “interpretive structural modeling (ISM) and analytic network process (ANP).” ISM methodology was utilized to get a hierarchical relationship between all criteria. Further, the input to the ANP matrices was taken from the output of ISM, and three organizations that differ in their principle of operation were ranked to find out the extent of implementation of SSCP in the Indian context. The obtained results indicate that “Information technology‐enabled system support (ITS), SC member's awareness and literacy (SAL), Societal issues (SIS), and Scarcity of natural resources (SNR)” were most significant constructs for successful implementation of SSCP for the case organizations.     

Toward an organizational understanding of the transformation needed for sustainable supply chain management: The concepts of force-field and differential efforts

This paper facilitates an in-depth view of the transformation needed for the transition from traditional to sustainable supply chain management (SSCM)—by delineating its elemental aspects. Taking an organizational unit of analysis perspective, this conceptual review seeks to characterize the fundamental nature of complexities inherent in the transformation, and thereby seeks to explicate the elemental nature of organizational efforts responsible for shaping sustainable supply chains. The findings outline intriguing mechanisms for explaining the complex and endless nature of the transformation for organizations. This discourse also involves the proposition of two novel concepts applied in this context: the SSCM Force-field and Differential Efforts in SSCM. While the former represents the intricate interplay between organizational efforts and organizational complexities in absorbing SSCM practices in the supply chain routines of an organization, the latter reflects the value of additional efforts above and beyond what is required in existing supply chain routines, to facilitate the integration of a desired SSCM practice into routines. The findings show how the force-field impedes an organization's progress in SSCM and how differential effort allows an organization to overcome the force-field to extend theoretical frameworks and offering valuable guidance for practicing managers. Overall, the research strengthens the conceptual foundation of SSCM theory by explicating the under-explored aspects involved in an organization's progressive journey toward SSCM. Further, it is a first attempt to outline the organizational implications of the SSCM journey.     

基于市民休闲生活需求的城市规划与管理——以广州市为例

城市的本质是人的居住形态和生活方式,现代社会休闲已成为城市居民的基本生活需求与生存方式,满足市民的休闲生活需求是城市的基本责任,"创造市民休闲生活"应该成为当代城市规划与管理的指导思想.以广州市为例,分析了基于市民休闲生活需求的城市规划方向和管理目标,并提出了具体策略.     

Optimal locations and flow allocations for aggregation hubs in supply chain networks of perishable products

Establishment of aggregation hubs in a supply chain network (SCN) is typically a facility location-allocation (FLA) decision, which is known to be a NP-hard optimization problem. Considering the flow of heterogeneous perishable products, like fresh produce, with different spoilage rates, further increases the complexity of such a problem. This is due to the effect of transportation time and conditions, services provided in the hub, and hub proximity to supply sources, on the quality and quantity of products eventually reaching the demand destinations, and hence on the location-allocation decision. In this paper, this problem is formulated as a mixed integer linear programming (MILP) model that considers a number of problem characteristics simultaneously for the first time, to minimize the transportation, spoilage, processing, and capacity-based hub establishment costs. Due to its complexity, two hybrid algorithms that combine a meta-heuristic with a perishability-modified transportation algorithm, are proposed to solve the problem. The algorithms are based on binary particle swarm optimization (BPSO) and simulated annealing (SA). Taguchi analysis is used to tune the significant parameters of both algorithms considering different problem sizes. Computational analysis is further conducted to evaluate and compare the performances of the algorithms using randomly generated test instances and exact solutions obtained using CPLEX. Results show that while both algorithms are capable of obtaining optimum solutions for most instances, the hybrid BPSO slightly outperforms the hybrid SA in terms of consistency and solution time.     

Sustainable development in small and medium enterprises: The role of entrepreneurial orientation in supply chain management

Organizations are under increased pressure to improve their sustainable performance through the adoption of green supply chain management (GSCM) practices. Small and medium enterprises (SMEs) have lagged behind larger corporations due to a number of factors. Chief among these factors is the lack of resources and capabilities. In this study, we investigate whether entrepreneurial orientation as a distinctive firm-level resource contributes to the successful implementation of GSCM practices within SMEs. We use primary data obtained from 316 manufacturing SMEs and analyze the data by using a fuzzy-set qualitative comparative analysis (fsQCA). Our findings show four equifinal configurations of GSCM practices and the components of entrepreneurial orientation (EO) that lead to high environmental performance. Two practices, “eco-design” and “internal environmental management”, are present in all configurations, with the latter being the single core condition. The components of EO are present in all the configurations. Three distinct configurations lead to the simultaneous achievement of high environmental performance and high economic performance. Some noticeable differences appear in these configurations: “internal environmental management” is no longer a core condition, instead external practices (“green purchasing,” “cooperation with customers including environmental requirements,” and “investment recovery”) and “risk-taking” become core conditions. We exptrapolate our findings into a set of propositions that expand theory on the link between entrepreneurial orientation and sustainable performance. Our study provides insights for managers who seek to infuse entrepreneurial thoughts and actions into their green supply chain initiatives.