scholarly journals Compensation and Buy-Back Deals in Supply Chains: Analyzing Strategic Decision Areas by Using AHP

2011 ◽  
Vol 8 (2) ◽  
pp. 17-49 ◽  
Author(s):  
Erik Hofmann
2021 ◽  
Vol 13 (4) ◽  
pp. 2060
Author(s):  
Doriane Desclee ◽  
David Sohinto ◽  
Freddy Padonou

Contributing to Sustainable Development Goals and Agenda 2030 is a shared objective of all institutions and people. The challenges differ according to the characteristics of every context. In developing countries, strongly dependent on the agricultural sector, agricultural supply chains are recognized as crucial for economic growth and enablers for livelihood improvement. Moreover, sustainable development issues are correlated and can meet in agricultural supply chains. For several decades, parallel to decision-makers, the research community has elaborated sustainability assessment tools. Such tools evolved to fit with actuality, but it is challenging to find decision-making support tools for sustainable development adequate in agricultural supply chains and developing countries contexts. There is a necessity to define evidence-based tools and exhaustive analytical frameworks according to sustainability multidimensionality and strategical tradeoffs necessity. The VCA4D method aims to go beyond the limits of previous methods. It proposes a combination of multidisciplinary analytical tools applied empirically to analyze agricultural supply chains in their context. It provides evidence-based analytical results allowing to identify enablers for strategic sustainable and inclusive interventions. However, to even better meet contextual exhaustiveness’s expectations and indicators’ robustness to lead to relevant interventions, we should insist on a stricter framing of contextual data collection processes.


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 274
Author(s):  
Maria Kamariotou ◽  
Fotis Kitsios ◽  
Chrysanthi Charatsari ◽  
Evagelos D. Lioutas ◽  
Michael A. Talias

The specific attributes of agrifood supply chains, along with their importance for the economy and society, have led to an increased interest in the parameters that enhance their effectiveness. Recently, numerous digital tools aimed at improving supply chain effectiveness have been developed. The majority of existing research focuses on optimizing individual processes rather than the overall growth of a food supply chain. This study aims to identify the stages of the information systems planning (ISP) process that affect the success of developing a strategic decision support system (DSS) for improving the decision-making process in the agrifood supply chains. Data were collected from 66 IT executives from Greek small and medium-sized enterprises (SMEs) in the agrifood sector and analyzed using regression analysis. The results revealed that situation analysis is the only stage of ISP that predicts ISP success. These findings can assist managers in appreciating the critical role of ISP for improving the performance of agrifood supply chain operations. Implementing the most appropriate information systems (IS) and digital tools results in increased competitive advantage, cost savings, and increased customer value.


2019 ◽  
pp. 1-3
Author(s):  
E. Eswara Reddy ◽  
Bhagyashree N

Environmentally and socially responsive supply chains are in the early adoption stages in India. Global supply chains need worldwide goals, and the key to the success of Green Supply Chain Management is to bring the worldwide industry together to decide upon and pledge to work towards reasonable and concrete goals that will make a real difference to the environment. Customers are increasingly demanding to know where products come from, how they are made and distributed and what impact future environmental legislations will have on the products they buy. The aim of this paper is to provide action plans and facilitate knowledge among supply chain practitioner that they need to go green the business efciently, and communicate these efforts to their customers, partners, and the public. In fact, the paper discusses the key drivers for green initiatives include government compliance, improved customer and public relations, a decreased fuel bill and nancial ROI through various supply chain initiatives such as reverse logistics. Further, increasing supply chain efciency, improving investor relations, decreasing risk and a larger corporate responsibility agenda are identied as important factors in the strategic decision to go green. Companies working in India are not properly addressing these measures in supply chain design and operations. That is why, the paper further elaborates strategic management of green supply chain, which involves collecting and analyzing environmental regulations and customer concerns, discussing the relevant environmental issues with the procurement, manufacturing and quality control departments across the supply chain rms and nally developing and communicating the green supply chain policies to all members of the supply chain i.e. supplier's supplier to customer's customer.


Author(s):  
Seval Ene ◽  
Nursel Öztürk

In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives.  Keywords: Green supply chain management, multi-objective modelling, network optimization;  


2017 ◽  
Vol 9 (2) ◽  
pp. 279 ◽  
Author(s):  
Roland Clift ◽  
Sarah Sim ◽  
Henry King ◽  
Jonathan Chenoweth ◽  
Ian Christie ◽  
...  

Author(s):  
Ilker Küçükoğlu ◽  
Nursel Öztürk

Abstract   In supply chain management, economical objectives have traditionally guided decisions of the supply chains. However, with increased global environmental and social concerns, in recent years, green aspects have been incorporated in supply chain decisions. These expansions lead to new research areas about green or sustainable supply chain management that includes applying various green practices in order to reduce negative impact on the environment or providing sustainable development. The purpose of this study is to develop a multi-objective optimization model for determining network design of the green supply chains. In multi-objective frame of the proposed model, total profit maximization and environmental impact minimization objectives are considered in order to obtain best network configuration for economic and environmental performance of the green chain. The proposed model is validated with numerical experiments. Obtained results showed that the model can be used as a strategic decision tool in problems with multi and conflicting objectives. Keywords: green supply chain management, multi-objective modelling, network optimization.  


2019 ◽  
Vol 54 (2) ◽  
pp. 205-225
Author(s):  
Carlos Sakuramoto ◽  
Luiz Carlos Di Serio ◽  
Alexandre de Vicente Bittar

Purpose There is a great reliance on fiscal incentives to sustain the automotive industry competitiveness due to several structural problems, among them the inefficiency of the supply chain. This paper aims to compare the supply chain structure of traditional automotive industry with the supply chains from South Korea and China. Based on strategic decision and transaction cost theory, this comparison seeks to exploit the factors that led to the inefficiency of automotive supply chains. Design/methodology/approach The authors used a qualitative approach and applied a multi-method research. They conducted semi-structured interviews with six executives from automakers representing the selected countries, carried individual meetings during one workshop and used secondary data from several sources. Findings Concepts identified in the research such as reliability, supply chain governance and automaker competencies led the authors to propose that the traditional automakers have higher transaction costs when compared to the new automakers due to the horizontal structure of their supply chain. While new competitors have vertical upstream supply chains, which indicates better profitability, traditional automotive industry is horizontal, depends on fewer Tier 1 suppliers and is disconnected from Tier 2, impacting negatively in the transaction costs and supply chain management. Practical implications This study suggests that automotive executives rethink the current upstream supply chain model by identifying the competencies required for their current and future competitiveness and implementing a vertical integration of these competencies. Originality/value This research exploited the inefficiency of supply chain as one of the explanations for the low competitiveness of the national automotive industry.


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