scholarly journals Smart Sustainable Production and Distribution Network Model for City Multi-Floor Manufacturing Clusters

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 488
Author(s):  
Tomasz Dudek ◽  
Tygran Dzhuguryan ◽  
Bogusz Wiśnicki ◽  
Kamil Pędziwiatr

This study focuses on management ways within a city multi-floor manufacturing cluster (MFMC). The application of MFMC in megapolises is closely related to the problem of urban spatial development and the problem of matching transport and logistics services. The operation of the MFMC depends on the efficiency of production and transport management considering technical, economic, end environmental factors. Therefore, conditions affecting decision-making in the field of production planning by MFMCs and accompanying transports within the agglomeration area with the use of the production-service platform were presented. Assumptions were created for the decision model, allowing for the selection of partners within the MFMC to execute the production order. A simplified decision model using the Hungarian algorithm was proposed, which was verified with the use of test data. The model is universal for material flow analysis and is an assessments basis for smart sustainable supply chain decision-making and planning. Despite the narrowing of the scope of the analysis and the simplifications applied, the presented model using the Hungarian algorithm demonstrated its potential to solve the problem of partner selection for the execution of the contract by MFMC.

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 774
Author(s):  
Adis Puška ◽  
Miroslav Nedeljković ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Dragan Pamučar

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.


2011 ◽  
Vol 201-203 ◽  
pp. 1268-1271
Author(s):  
Qiang Zhang ◽  
Qiu Shuang Song

The coal plough equipment of traditional choice method has subjective capriciousness question, This paper discuss and analyze the assessment of mining method by entropy value law and gray connection theory, carries on the quantification recursive operation according to the normalizing formula, calculates all levels of membership function separately, it has established the coal plough way gray connection decision-making model. we research and analyze Yangquan coal mining to prove the model, it provide Selection of coal plough decision-making method.


Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 353 ◽  
Author(s):  
Bojan Matić ◽  
Stanislav Jovanović ◽  
Dillip Kumar Das ◽  
Edmundas Kazimieras Zavadskas ◽  
Željko Stević ◽  
...  

Sustainable development is one of the most important preconditions for preserving resources and balanced functioning of a complete supply chain in different areas. Taking into account the complexity of sustainable development and a supply chain, different decisions have to be made day-to-day, requiring the consideration of different parameters. One of the most important decisions in a sustainable supply chain is the selection of a sustainable supplier and, often the applied methodology is multi-criteria decision-making (MCDM). In this paper, a new hybrid MCDM model for evaluating and selecting suppliers in a sustainable supply chain for a construction company has been developed. The evaluation and selection of suppliers have been carried out on the basis of 21 criteria that belong to all aspects of sustainability. The determination of the weight values of criteria has been performed applying the full consistency method (FUCOM), while a new rough complex proportional assessment (COPRAS) method has been developed to evaluate the alternatives. The rough Dombi aggregator has been used for averaging in group decision-making while evaluating the significance of criteria and assessing the alternatives. The obtained results have been checked and confirmed using a sensitivity analysis that implies a four-phase procedure. In the first phase, the change of criteria weight was performed, while, in the second phase, rough additive ratio assessment (ARAS), rough weighted aggregated sum product assessment (WASPAS), rough simple additive weighting (SAW), and rough multi-attributive border approximation area comparison (MABAC) have been applied. The third phase involves changing the parameter ρ in the modeling of rough Dombi aggregator, and the fourth phase includes the calculation of Spearman’s correlation coefficient (SCC) that shows a high correlation of ranks.


Author(s):  
Theuns F.J. Oosthuizen

A lack of optimum selection and application of decision-making techniques, in conjunction with suitable decision-making practice and perception of employees in a transport work environment demands attention to improve overall performance. Although multiple decision-making techniques exist, five prevalent techniques were considered in this article, namely the Kepner-Tregoe, Delphi, stepladder, nominal group and brainstorming techniques. A descriptive research design was followed, using an empirical survey which was conducted among 210 workers employed in a transport work environment and studying in the field of transport management. The purpose was to establish to what extent the five decision-making techniques are used in their work environment and furthermore how the decision-making practice of using gut-feel and/or a step-by-step decision-making process and their perception of their decision-making success relate. The research confirmed that the use of decision-making techniques is correlated to perceived decision-making success. Furthermore, the Kepner-Tregoe, stepladder, Delphi and brainstorming techniques are associated with a step-by-step decision-making process. No significant association was confirmed between the use of gut-feel and decision-making techniques. Brainstorming was found to be the technique most frequently used by transport employees; however, it has limitations as a comprehensive decision-making technique. Employees working in a transport work environment need training in order to select and use the four comprehensive decision-making techniques.


2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Eduarda Asfora Frej ◽  
Lucia Reis Peixoto Roselli ◽  
Jônatas Araújo de Almeida ◽  
Adiel Teixeira de Almeida

This article puts forward a decision model for solving a supplier selection problem in a food industry by considering multiple objectives that influence the decision-making process. In times of increasing competitiveness, companies strive hard to improve their profitability, and selection of supply sources may help if an appropriate decision is made through a well-structured decision-making process. Preference modeling is conducted in a flexible and interactive elicitation manner with the decision-maker (DM), aided by FITradeoff method. Partial information is gathered about the DM’s preferences in such a way that less effort is spent on finding a final solution for the problem.


2011 ◽  
Vol 63 (11) ◽  
pp. 2498-2504 ◽  
Author(s):  
Lydie Yiougo ◽  
Halidou Koanda ◽  
Christoph Luethi ◽  
Joseph Wéthé

In the context of rapid urbanization across Sub-Saharan Africa there is a critical need for more robust decision-making between different ways of providing sanitation services in existing and new peri-urban areas. In several countries, authorities tried to find solutions by developing strategies to address sanitation problems in the form of Strategic Sanitation Plans. In Burkina, Strategic Sanitation Plans have been elaborated and implemented since the 1990s. Fada N'Gourma, a secondary city in Burkina, also adopted a Strategic Plan for wastewater and excreta management in 2006. In this study we use material flow analysis as a decision making tool to verify technology options of the Plan. A model was developed and data was collected in order to assess material and nitrogen flows. The status quo situation was compared to scenario based on the proposals made in the Sanitation Plan. Results show that the technology options which were recommended improved human health in the short term. However, the options led to groundwater pollution in the medium term. Compared to the current situation, matter and nitrogen flows would increase by 7% and 7.4% respectively in groundwater. It is thus concluded that the proposed options will not achieve the Plan's stated objectives of environmental protection.


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