193 resultados para Sustainable supply chain


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RFID is one of the contemporary technologies that has the potential to enable improved data gathering and cross-companies integration, and thus achieve cost efficiency. However, RFID has not yet become primary approach to collect data from the supply chain activities. This is partly due to (relative) high cost of implementation, partly due to technical deficiencies, as well as cross-company systems integration issues. This paper discusses a potential application area for RFID technology, which is environmentally sustainable supply chain management. The paper discusses the current practices in green supply chain management, and proposes possible applications of RFID enabling green supply chain management. The paper also proposes an idea of ad hoc RFID systems which are rapidly deployable and require minimal, if at all, pre-existing infrastructure. © 2010 IEEE.

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In India, more than one third of the population do not currently have access to modern energy services. Biomass to energy, known as bioenergy, has immense potential for addressing India’s energy poverty. Small scale decentralised bioenergy systems require low investment compared to other renewable technologies and have environmental and social benefits over fossil fuels. Though they have historically been promoted in India through favourable policies, many studies argue that the sector’s potential is underutilised due to sustainable supply chain barriers. Moreover, a significant research gap exists. This research addresses the gap by analysing the potential sustainable supply chain risks of decentralised small scale bioenergy projects. This was achieved through four research objectives, using various research methods along with multiple data collection techniques. Firstly, a conceptual framework was developed to identify and analyse these risks. The framework is founded on existing literature and gathered inputs from practitioners and experts. Following this, sustainability and supply chain issues within the sector were explored. Sustainability issues were collated into 27 objectives, and supply chain issues were categorised according to related processes. Finally, the framework was validated against an actual bioenergy development in Jodhpur, India. Applying the framework to the action research project had some significant impacts upon the project’s design. These include the development of water conservation arrangements, the insertion of auxiliary arrangements, measures to increase upstream supply chain resilience, and the development of a first aid action plan. More widely, the developed framework and identified issues will help practitioners to take necessary precautionary measures and address them quickly and cost effectively. The framework contributes to the bioenergy decision support system literature and the sustainable supply chain management field by incorporating risk analysis and introducing the concept of global and organisational sustainability in supply chains. The sustainability issues identified contribute to existing knowledge through the exploration of a small scale and developing country context. The analysis gives new insights into potential risks affecting the whole bioenergy supply chain.

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This study adopts a power perspective to investigate sustainable supply chain relationships and specifically uses resource-dependence theory (RDT) to critically analyze buyer-supplier-supplier relationships. Empirical evidence is provided, extending the RDT model in this context. The concept of power relationships is explored through a qualitative study of a multinational company and agricultural growers in the UK food industry that work together to implement sustainable practices. We look at multiple triadic relationships involving a large buyer and its small suppliers to investigate how relative power affects the implementation of sustainable supply-management practices. The study highlights that power as dependence is relevant to understanding compliance in sustainable supply chains and to identifying appropriate relationship-management strategies to build more sustainable supply chains. We show the influences of power on how players manage their relationships and how it affects organizational responses to the implementation of sustainability initiatives. Power notably influences the sharing of sustainability-related risks and value between supply chain partners. From a managerial perspective, the study contributes to developing a better understanding of how power can become an effective way to achieve sustainability goals. This article offers insights into the way in which a large organization works with small and medium size enterprises to implement sustainable practices and shows how power management-that is, the way in which power is used-can support or hinder effective cooperation around sustainability in the supply chain. © 2014 Decision Sciences Institute.

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Industrial development, accompanying human population growth, has had a major role in creating the situation where bio-diverse materials and services essential for sustaining business are under threat. A major contributory factor to biodiversity decline comes from the cumulative impacts of extended supply chain business operations. However, within Corporate Responsibility (CR) reporting impacts on biodiversity due to supply chain operations have not traditionally been given equal weighting with other environmental issues. This paper investigates the extent of CR reporting in managing and publicising company biodiversity supply chain issues by reviewing a cross-sector sample of publicly available CR reports. The report contents were examined for suggestions of industrial sectorial trends in the level of biodiversity consideration. The reporting of environmental management system use within company supply chain management is assessed in the samples and is considered as a mechanism for responsible supplier partnership working.

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The purpose of this paper is to delineate a green supply chain (GSC) performance measurement framework using an intra-organisational collaborative decision-making (CDM) approach. A fuzzy analytic network process (ANP)-based green-balanced scorecard (GrBSc) has been used within the CDM approach to assist in arriving at a consistent, accurate and timely data flow across all cross-functional areas of a business. A green causal relationship is established and linked to the fuzzy ANP approach. The causal relationship involves organisational commitment, eco-design, GSC process, social performance and sustainable performance constructs. Sub-constructs and sub-sub-constructs are also identified and linked to the causal relationship to form a network. The fuzzy ANP approach suitably handles the vagueness of the linguistics information of the CDM approach. The CDM approach is implemented in a UK-based carpet-manufacturing firm. The performance measurement approach, in addition to the traditional financial performance and accounting measures, aids in firms decision-making with regard to the overall organisational goals. The implemented approach assists the firm in identifying further requirements of the collaborative data across the supply-cain and information about customers and markets. Overall, the CDM-based GrBSc approach assists managers in deciding if the suppliers performances meet the industry and environment standards with effective human resource. © 2013 Taylor & Francis.

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The need for improvement in the logistics and supply chain management capability of companies in Ireland is becoming increasingly recognised. One of the main bottlenecks currently is the shortage of supply chain management professionals. Education and training has a fundamental role to play if the supply of suitably qualified human resource is to be addressed in a meaningful way. Recent research indicates that demand for people with the right knowledge and skills greatly exceed supply. There are numerous techniques and technologies which can facilitate improvement in a company’s supply chain capability. However, experience has shown that these tools alone can not address the weaknesses – any improvement tool is only as good as a company’s ability to utilise it and effective utilisation depends above all on the knowledge and skill of employees. Education and training is essential in developing the requisite knowledge and skills. Consultants can play a role in terms of providing an objective view of a company’s requirements. But the only way to generate a sustainable competitive advantage is to ensure that the necessary knowledge and skills are available in-house. Indeed, the “consultancy culture” which has developed in many companies is a direct result of this lack of in-house expertise. Given the shortage of suitably qualified and experienced people in the job market, the only way that this problem can be addressed is through effective development of existing staff. This paper describes the partnership model adopted by the NITL to achieve its objective of combining academic excellence with real relevance to commercial needs in its supply chain management development programmes. The Executive Development Programme (EDP) is used to illustrate how the model is implemented.

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This special issue of International Journal of Production Research provides a platform for sharing the knowledge base, recent research outputs and a review of recent developments highlighting the critical aspects of green manufacturing supply chain design and operations decision support. The special issue includes 15 contributions presenting new and significant research in the relevant area. Contributions mainly present either a novel green/sustainable manufacturing supply chain design and operations decision support approach applied to a problem, or a state-of-the-art method on green/sustainable factors in supply chain design and operations. The article delineates an overview of the contributions and their significance, and an introspection on the ‘green’ factors involved.

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The number of research papers linking sustainability with supply chain management is increasing around the world. The purpose of this paper is to analyse how the publications in Brazil are considering the relationship between sustainability and supply chain management. The methodology applied consists in five major steps: (1) selection of databases and journals, (2) selection of the papers, (3) reading of papers' abstracts to select only papers that are related to business and sustainability, (4) qualitative and quantitative analysis of the selected papers' abstracts to define the main dimension of sustainability and sustainability aspect, and finally, (5) an evaluation of experts' responses to a questionnaire in the field of sustainability and supply chain in Brazil. The literature review was conducted in 120 Brazilian academic journals in which 124 papers were identified as being published in relation to sustainability, business management and companies, from 2008 until 2013. When considering the traditional Triple Bottom Line approach, the results of the analysis show that sustainability research in Brazil is focusing on the environmental dimension and SCM research is focusing on the economic dimension. Additional inputs are provided by integrating the governance dimension in the analysis to underline which actions and policies are discussed in Brazilian literature at a corporate level. The consultation of experts in the field of sustainability in Brazil was aimed at understanding better the results of the conducted literature review. One of the main conclusions is that there are large opportunities to increase publications about sustainability and SCM in the country.

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The amplification of demand variation up a supply chain widely termed ‘the Bullwhip Effect’ is disruptive, costly and something that supply chain management generally seeks to minimise. Originally attributed to poor system design; deficiencies in policies, organisation structure and delays in material and information flow all lead to sub-optimal reorder point calculation. It has since been attributed to exogenous random factors such as: uncertainties in demand, supply and distribution lead time but these causes are not exclusive as academic and operational studies since have shown that orders and/or inventories can exhibit significant variability even if customer demand and lead time are deterministic. This increase in the range of possible causes of dynamic behaviour indicates that our understanding of the phenomenon is far from complete. One possible, yet previously unexplored, factor that may influence dynamic behaviour in supply chains is the application and operation of supply chain performance measures. Organisations monitoring and responding to their adopted key performance metrics will make operational changes and this action may influence the level of dynamics within the supply chain, possibly degrading the performance of the very system they were intended to measure. In order to explore this a plausible abstraction of the operational responses to the Supply Chain Council’s SCOR® (Supply Chain Operations Reference) model was incorporated into a classic Beer Game distribution representation, using the dynamic discrete event simulation software Simul8. During the simulation the five SCOR Supply Chain Performance Attributes: Reliability, Responsiveness, Flexibility, Cost and Utilisation were continuously monitored and compared to established targets. Operational adjustments to the; reorder point, transportation modes and production capacity (where appropriate) for three independent supply chain roles were made and the degree of dynamic behaviour in the Supply Chain measured, using the ratio of the standard deviation of upstream demand relative to the standard deviation of the downstream demand. Factors employed to build the detailed model include: variable retail demand, order transmission, transportation delays, production delays, capacity constraints demand multipliers and demand averaging periods. Five dimensions of supply chain performance were monitored independently in three autonomous supply chain roles and operational settings adjusted accordingly. Uniqueness of this research stems from the application of the five SCOR performance attributes with modelled operational responses in a dynamic discrete event simulation model. This project makes its primary contribution to knowledge by measuring the impact, on supply chain dynamics, of applying a representative performance measurement system.