scholarly journals Digital Strategy Decision Support Systems: Agrifood Supply Chain Management in SMEs

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.

TEME ◽  
2021 ◽  
pp. 1457
Author(s):  
Dragana Rejman Petrović ◽  
Predrag Mimović ◽  
Zora Arsovski

The purpose of this paper is the creation of a model for supply chain performance optimization and the development of a prototype of the decision support system.The study covered an efficient and agile supply chain type. The Analytic Hierarchy Process was used (AHP) for the evaluation and ranking of supply chains.The research on this topic have dealt with the evaluation and ranking of suppliers within supply chains not considering the characteristics of different types of supply chains. The contribution of this work is in the development of a new model that enables the evaluation and ranking of supply chains considering the priorities of key performance indicators in different types of supply chains, providing management with the support in decision making through simulation and the finding of optimum solutions for the specific supply chain type, as well as the possibility of evaluation and ranking of different supply chain types on the basis of weighted overall performance of each supply chain.Developed and suggested models provide company management with monitoring and control of individual key performance indicators and total supply chain performance, and in this way, become the support to the management in strategic decision making.


2011 ◽  
pp. 136-152
Author(s):  
Iskra Dukovska-Popovska ◽  
Malcolm Bertoni ◽  
Hans-Henrik Hvolby ◽  
Paul Turner ◽  
Kenn Steger-Jensen

Integrating environmental considerations into supply-chain management has become an increasingly important issue for industry, government and academic researchers. Supply chain managers are being required to respond to the challenges of new legislation, standards and regulations; changing customer demands; drivers for efficiency, cost effectiveness and return on investment; while simultaneously being ‘green’. The fundamental tension between business and environmental drivers is difficult, but critical to understanding how to effectively re-engineer and re-design existing supply chains in a manner that is sustainable both financially and environmentally. Information systems have a significant role to play in supporting corporate responses to environmental management and the development of holistic green logistic solutions. This chapter examines contemporary discussions on the current state of sustainable supply-chain management and green logistics. It presents a case study from the Fujitsu Corporation in Japan and explores models of information systems and RFID use in green logistics. Combining insights from the case and existing models the chapter explores an example of how a combined model can be used to explore the potential of a specific emerging technology (RFIDs) in ‘greening’ supply chains.


Author(s):  
S. Saghiri

Concentrating on the role of supply chain decoupling point, this chapter introduces different levels of customisation and mass operations and three types of mass customisation. It argues that in each mass customisation type, information systems which are upstream and downstream of the decoupling point can be varied. Consequently, information flows in different types of mass customisation have been examined. This analysis is an endeavour to organise mass customisation information systems across the supply chain, while it can be a useful structure for future researches in this area as well.


Author(s):  
Karthik Manohar ◽  
Kosuke Ishii

This paper describes the first phase of the authors’ Design for Supply Chain research that seeks to address supply chain excellence the product design process. In a global economy, companies must address supply chain issues beyond the traditional viewpoint of logistics, trucking, warehousing and include other considerations that affects design and manufacturing decisions. To include supply chain perspectives in the design of products and manufacturing processes, supply chain performance data play a critical role. This paper examines the source of data pertinent to design for supply chain using methods such as Customer Value Chain Analysis and Quality Function Deployment. A multi-industry benchmarking study also highlights the different approaches to Design for Supply Chain and emerging challenges of Social and Environmentally Responsible Supply Chains. The study revealed that lead time, quality and social/environmental metrics are the most important metrics for design for supply chain. Future research will address the refinement of metrics, the definition of the relevant data for product design, and effective approaches to incorporate the information into the product definition process.


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.


Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 351 ◽  
Author(s):  
Markéta Mikolajková-Alifov ◽  
Frank Pettersson ◽  
Margareta Björklund-Sänkiaho ◽  
Henrik Saxén

A better design of gas supply chains may lead to a more efficient use of locally available resources, cost savings, higher energy efficiency and lower impact on the environment. In optimizing the supply chain of liquefied natural gas (LNG), compressed natural gas (CNG) or biogas for smaller regions, the task is to find the best supplier and the most efficient way to transport the gas to the customers to cover their demands, including the design of pipeline networks, truck transportation and storage systems. The analysis also has to consider supporting facilities, such as gasification units, truck loading lines and CNG tanking and filling stations. In this work a mathematical model of a gas supply chain is developed, where gas may be supplied by pipeline, as compressed gas in containers or as LNG by tank trucks, with the goal to find the solution that corresponds to lowest overall costs. In order to efficiently solve the combinatorial optimization problem, it is linearized and tacked by mixed integer linear programming. The resulting model is flexible and can easily be adapted to tackle local supply chain problems with multiple gas sources and distributed consumers of very different energy demands. The model is illustrated by applying it on a local gas distribution problem in western Finland. The dependence of the optimal supply chain on the conditions is demonstrated by a sensitivity analysis, which reveals how the model can be used to evaluate different aspects of the resulting supply chains.


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