IT in Manufacturing and Logistics for SCM and OP in SMEs

2020 ◽  
pp. 109-117 ◽  
Author(s):  
Wei Hung ◽  
Yao-Wen Hsu
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Statistical Analysis ◽  
Organizational Performance ◽  
Manufacturing Sector ◽  
Decision Making Process ◽  
Chain Management ◽  
Modern Age ◽  
Wide Range

This analysis focusses on the effects of Information Technology (IT) and how it significantly affects the Supply Chain Management (SCM) in logistics and manufacturing-Small and Medium-Sized Enterprises (SMEs). Apart from that, our purpose is to evaluate how IT affects the Organizational Performance (OP) in the enterprises. Irrespective of the fact that IT cannot be applied in every enterprise, the findings in this research are based on the statistical analysis which shows that a wide-range of workforce in the modern age has adopted the initiative considering the complexities of SCM and mostly to maximize OP in the enterprises. This research was done based on the analysis of SMEs in logistics and manufacturing sector in India. The sample used to conduct this research makes it valid to draw assumptions that managers and CEOs are responsible for coordinating enterprise operations in SMEs. The evaluation in this research shows that the workforce is obliged to formulate strategies to allow employees to enhance their competency of IT. In that regard, the findings are essential for the enhancement of the decision-making process, SCM and OP.

scholarly journals Decision-Making Process for Photovoltaic Solar Energy Sector Development using Fuzzy Cognitive Map Technique

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1427 ◽  
Author(s):  
Konstantinos Papageorgiou ◽  
Gustavo Carvalho ◽  
Elpiniki I. Papageorgiou ◽  
Dionysis Bochtis ◽  
George Stamoulis
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Solar Energy ◽  
Energy Sector ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Decision Making Process ◽  
Chain Management ◽  
Photovoltaic Solar Energy

Photovoltaic Solar Energy (PSE) sector has sparked great interest from governments over the last decade towards diminution of world’s dependency to fossil fuels, greenhouse gas emissions reduction and global warming mitigation. Photovoltaic solar energy also holds a significant role in the transition to sustainable energy systems. These systems and their optimal exploitation require an effective supply chain management system, such as design of the network, collection, storage, or transportation of this energy resource, without disregarding a country’s certain socio-economic and political conditions. In Brazil, the adoption of photovoltaic solar energy has been motivated not only by the energy matrix diversification but also from the shortages, problems, and barriers that the Brazilian energy sector has faced, lately. However, PSE development is affected by various factors with high uncertainty, such as political, social, economic, and environmental, that include critical operational sustainability issues. Thus, an elaborate modelling of energy management and a well-structured decision support process are needed to enhance the performance efficiency of Brazilian PSE supply chain management. This study focuses on the investigation of certain factors and their influence on the development of the Brazilian PSE with the help of Fuzzy Cognitive Maps. Fuzzy Cognitive Map is an established methodology for scenario analysis and management in diverse domains, inheriting the advancements of fuzzy logic and neural networks. In this context, a semi-quantitative model was designed with the help of various stakeholders from the specific energy domain and three plausible scenarios were conducted in order to support a decision-making process on PSE sector development and the country’s economic potential. The outcome of this analysis reveals that the development of the PSE sector in Brazil is mainly affected by economic and political factors.

scholarly journals COMPARISON OF THREE FUZZY MCDM METHODS FOR SOLVING THE SUPPLIER SELECTION PROBLEM

2019 ◽  
Vol 17 (3) ◽  
pp. 455 ◽  
Author(s):  
Goran Petrović ◽  
Jelena Mihajlović ◽  
Žarko Ćojbašić ◽  
Miloš Madić ◽  
Dragan Marinković
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Problem ◽  
Management Decision ◽  
Chain Management ◽  
Wide Range ◽  
Supplier Selection Problem ◽  
Selection Of

The evaluation and selection of an optimal, efficient and reliable supplier is becoming more and more important for companies in today’s logistics and supply chain management. Decision-making in the supplier selection domain, as an essential component of the supply chain management, is a complex process since a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper shows a fuzzy approach in multi – criteria decision-making (MCDM) process. Criteria weights have been determined by fuzzy SWARA (Step-wise Weight Assessment Ratio Analysis) method. Chosen methods, fuzzy TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution), fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and fuzzy ARAS (Additive Ratio Assessment) have been used for evaluation and selection of suppliers in the case of procurement of THK Linear motion guide components by the group of specialists in the “Lagerton” company in Serbia. Finally, results obtained using different MCDM approaches were compared in order to help managers to identify appropriate method for supplier selection problem solving.

scholarly journals A STUDY OF MULTI CRITERIA DECISION MAKING FOR SELECTING SUPPLIERS OF LINEAR MOTION GUIDE

2018 ◽  
pp. 97
Author(s):  
Goran S. Petrović ◽  
Vesna Sekulić ◽  
Miloš Madić ◽  
Jelena Mihajlović
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Management Decision ◽  
Multi Criteria Decision Making ◽  
Linear Motion ◽  
Chain Management ◽  
Wide Range ◽  
Linear Motion Guide ◽  
Selection Of

Supplier evaluation and selection is becoming more and more important for companies in today’s logistics and supply chain management. Decision making in supplier selection domain, as an essential component of supply chain management, is a complex process due to the fact that a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper focuses on the application of some single and hybrid multi criteria decision making approaches for the selection of suppliers of transportation and logistics equipment. The analytic hierarchy process (AHP), stepwise weight assessment ratio analysis (SWARA) and technique for the order preference by similarity to ideal solution (TOPSIS) have been implemented in the "Lagerton" company in Serbia for evaluation and selection of the supplier in the case of procurement of THK Linear motion guide components. The best ranked supplier has been suggested to the company and the sensitivity analysis of ranking orders according to the criteria weights variations has been done.

scholarly journals SUPPLY CHAIN MANAGEMENT, COMPETITIVE ADVANTAGE AND ORGANIZATIONAL PERFORMANCE IN THE NIGERIAN MANUFACTURING SECTOR

2021 ◽  
pp. 57-68
Author(s):  
Efosa Abiodun ◽  
Omorodion Omoregbe
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Competitive Advantage ◽  
Organizational Performance ◽  
Information Quality ◽  
Management Practices ◽  
Manufacturing Sector ◽  
Customer Relationship ◽  
Chain Management ◽  
The Impact

In this study, we examined the impact of supply chain management practices (SCMP): strategic supplier partnership, customer relationship, level of information shared, and information quality on competitive advantage and organizational performance in the Nigerian manufacturing sector. In so doing, this study was set out to find out if these practices generate conditions that promote higher or lesser competitive advantage and organizational performance. The survey research design was adopted because the characteristics of the respondents were fully captured in other to make important decisions. A total number of 122 were found usable out of 146 copies of questionnaire circulated. The structural equation modelling (SEM) was the estimation technique employed to measure the relationships among the various variables/constructs using AMOS 22.0. It was found out that the four predictors (strategic supplier partnership, customer relationship, level of information shared, information quality) of SCMP had significant impact on organizational performance. The study also revealed that of the four independent variables, three (strategic supplier partnership, customer relationship, and level of information shared) had significant impact on competitive advantage, while information quality had no significant impact on competitive advantage. In response to our research questions, we concluded that the four constructs or predictors generate conditions that promote higher competitive advantage and organizational performance in the Nigerian manufacturing sector. The study recommended that manufacturing organizations should share quality, timely and accurate information to ensure their product offerings can be altered to meet customers while offering competitive prices. The study further recommended that organizations should assist its suppliers to improve product quality; regularly relate with clients to set dependability, receptiveness, and other standards; notify trading partners early when changing needs arises; and have fast product development.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

scholarly journals A survey of methods for evaluating mini-publics

2021 ◽  
Author(s):  
Takeuchi Ayano
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Future Research ◽  
The Political ◽  
Decision Making Process ◽  
Sufficient Information ◽  
Practical Case ◽  
Political Decision ◽  
Wide Range ◽  
Political Decision Making

AbstractPublic participation has become increasingly necessary to connect a wide range of knowledge and various values to agenda setting, decision-making and policymaking. In this context, deliberative democratic concepts, especially “mini-publics,” are gaining attention. Generally, mini-publics are conducted with randomly selected lay citizens who provide sufficient information to deliberate on issues and form final recommendations. Evaluations are conducted by practitioner researchers and independent researchers, but the results are not standardized. In this study, a systematic review of existing research regarding practices and outcomes of mini-publics was conducted. To analyze 29 papers, the evaluation methodologies were divided into 4 categories of a matrix between the evaluator and evaluated data. The evaluated cases mainly focused on the following two points: (1) how to maintain deliberation quality, and (2) the feasibility of mini-publics. To create a new path to the political decision-making process through mini-publics, it must be demonstrated that mini-publics can contribute to the decision-making process and good-quality deliberations are of concern to policy-makers and experts. Mini-publics are feasible if they can contribute to the political decision-making process and practitioners can evaluate and understand the advantages of mini-publics for each case. For future research, it is important to combine practical case studies and academic research, because few studies have been evaluated by independent researchers.

Information technology support for integrated supply chain modeling

2008 ◽  
Vol 27 (1) ◽  
pp. 3-13
Author(s):  
Charu Chandra ◽  
Jānis Grabis
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Process Modeling ◽  
Service Oriented Architecture ◽  
Model Development ◽  
Integrated Models ◽  
Supply Chain Modeling ◽  
Decision Making Models ◽  
Integrated Supply Chain

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.

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