scholarly journals Model and Analysis of Economic- and Risk-Based Objective Optimization Problem for Plant Location within Industrial Estates Using Epsilon-Constraint Algorithms

Computation ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 46
Author(s):  
Niroot Wattanasaeng ◽  
Kasin Ransikarbum

In many countries, a number of industrial estates have been established to support the growth of the industrial sector, which is an essential strategy to drive economic growth. Planning for the location of industrial factories within an industrial estate, however, becomes complex, given the various types of industrial plants and the requirements of utilities to support operations within an industrial park. In this research, we model and analyze bi-objective optimization for locating plants within an industrial estate by considering economic- and risk-based cost objectives. Whereas economic objectives are associated with utility distances between plant locations, risk-based cost is a surrogate criterion derived from safety considerations. Next, risk-based data are further generated from Areal Locations of Hazardous Atmospheres (ALOHA), the hazard modeling program, and solutions to the bi-objective model are obtained from the Epsilon-constraint algorithm. Finally, the model is applied to a regional case study in a Thailand industrial estate, and the Pareto frontier is evaluated to demonstrate the trade-off between objectives.

2017 ◽  
Vol 7 (4) ◽  
pp. 304-315
Author(s):  
Mahdi Jahani Sani ◽  
Majid Najib Davandeh ◽  
Abolfazl Behniafar

<p>The development of industrial areas in villages can have many positive socio-economic effects. Results of studies indicate an improvement in the living conditions of villagers after the establishment of industrial areas in villages. Establishment of industrial estates in different provinces of the country has been followed by numerous environmental, economic, social, and physical effects on the region, especially the rural community. Thus, the present study seeks to do a case study concerning the effects of Binaloud Industrial Estate on the sustainability of rural settlements in Ahmadabad district of Mashhad city while considering the place and importance of industrial estates in rural areas. This research is an applied study in terms of purpose, whose results can be used in planning. For measuring the effects of industrial estates, three economic, social and environmental dimensions have been taken into account, which have been evaluated by multiple questions in the questionnaire. Thus, of 58 villages existing in Ahmadabad district of Mashhad city where Binaloud Industrial Estate has been located (research statistical population), 42 villages were selected. To determine the number of sample villages, demographic factor (villages with more than 100 inhabitants) was used. Then, considering the factor of distance dimension and access to Binaloud Industrial Estate, 10 villages were selected out of 42 villages and were used as the population of the research sample. Based on Cochran formula, unlimited population size is used to determine the sample size. Accordingly, the sample size was obtained to be 279. The sample size of each village has been calculated with regard to the proportion of the size of households in each village. In order to compare the average of respondents’ opinions regarding the effect of industrial estates on the sustainability of rural settlements, comparison of the average of this variable (including three economic, social and environmental dimensions) was done with the aid of t-test with number 3 (medium), whose results indicated that p-value divided by 2 of this test is lower than 0.05 and t-statistic is positive (16.732). Hence, it can be concluded that the creation of industrial estates is effective in the sustainability of rural settlements; that is, the research hypothesis is approved with 95% confidence. Ultimately, the impact of the industrial estate on the studied villages is greater in the social and economic dimensions, and in the environmental dimension, the industrial estate has had a significant impact on only 3 villages (Avareshk, Seidabad and Fakhr Davoud). </p>


2017 ◽  
Vol 5 (1) ◽  
pp. 94-103 ◽  
Author(s):  
Abdulsalam Dukyil ◽  
Ahmed Mohammed ◽  
Mohamed Darwish

Abstract The implementation of RFID technology has been subject to ever-increasing popularity in relation to the traceability of products as one of the most cutting edge technologies. Implementing such a technology leads to an increase in the visibility management of products. Notwithstanding this, RFID communication performance is potentially affected by interference between the RFID devices. It is also subject to additional costs in investment that should be taken into account. Consequently, seeking a cost-effective design with a desired communication performance for RFID-enabled systems has become a key factor in order to be competitive in today's markets. This study presents a cost and performance-effective design for a proposed RFID-enabled passport tracking system through the development of a multi-objective model that takes in account economic, performance and social criteria. The developed model is aimed at solving the design problem by (i) allocating the optimal numbers of related facilities that should be established and (ii) obtaining trade-offs among three objectives: minimising implementation and operational costs; minimising RFID reader interference; and maximising the social impact measured in the number of created jobs. To come closer to real design in terms of considering the uncertain parameters, the developed multi-objective model was developed in terms of a fuzzy multi-objective model (FMOM). To solve the fuzzy multi-objective optimization problem, two solution methods were used and a decision-making method was employed to select the final trade-off solution. A case study was applied to examine the applicability of the developed model and the proposed solution methods. Highlights The problem is formulated as a fuzzy multi-objective programming model. Two solution methods are used to solve the optimization problem. A case study is investigated to examine the applicability of the model.


2020 ◽  
Vol 7 (7) ◽  
pp. 686-695
Author(s):  
Safa Sababhi

The industrial estates represent the most prominent forms of support provided by the state to the industrial sector by achieving external savings that support the establishment and continuation of industries. The successive Jordanian governments seek to support the industrial sector and provide it with all forms of incentives in order to improve the growth of the Jordanian economy and providing job opportunities. Therefore, they established (6) industrial estates distributed all over the Kingdom’s governorates. However, these industrial clusters are still working within the classic classical conception of clustering, as a place for grouping industries, and were unable to switch to the concept of industrial clusters resulting from interaction and integration between industries, while the industrial clusters turned to be a development strategy leading to the growth and development of industries. So, this study aimed to find out if the industries in the Industrial City of Al-Hassan Industrial Estate managed to shift from the traditional concept of clustering to the concept of cluster, and to know the reasons preventing this transformation. The study adopted the descriptive analytical approach and the qualitative analysis of the data collected through the study tool (the questionnaire). The study concluded that the industries in Al-Hassan Industrial Estate were unable to transform into a cluster based on interaction and exchange, and the interaction between factories and the local community represented by academic institutions is at its lowest levels. Therefore, the study recommends restructuring the industrial estates and technology areas in the Kingdom to shift from the traditional role of the industrial cluster to the modern concept.


2020 ◽  
Author(s):  
George Karagiannakis

This paper deals with state of the art risk and resilience calculations for industrial plants. Resilience is a top priority issue on the agenda of societies due to climate change and the all-time demand for human life safety and financial robustness. Industrial plants are highly complex systems containing a considerable number of equipment such as steel storage tanks, pipe rack-piping systems, and other installations. Loss Of Containment (LOC) scenarios triggered by past earthquakes due to failure on critical components were followed by severe repercussions on the community, long recovery times and great economic losses. Hence, facility planners and emergency managers should be aware of possible seismic damages and should have already established recovery plans to maximize the resilience and minimize the losses. Seismic risk assessment is the first step of resilience calculations, as it establishes possible damage scenarios. In order to have an accurate risk analysis, the plant equipment vulnerability must be assessed; this is made feasible either from fragility databases in the literature that refer to customized equipment or through numerical calculations. Two different approaches to fragility assessment will be discussed in this paper: (i) code-based Fragility Curves (FCs); and (ii) fragility curves based on numerical models. A carbon black process plant is used as a case study in order to display the influence of various fragility curve realizations taking their effects on risk and resilience calculations into account. Additionally, a new way of representing the total resilience of industrial installations is proposed. More precisely, all possible scenarios will be endowed with their weighted recovery curves (according to their probability of occurrence) and summed together. The result is a concise graph that can help stakeholders to identify critical plant equipment and make decisions on seismic mitigation strategies for plant safety and efficiency. Finally, possible mitigation strategies, like structural health monitoring and metamaterial-based seismic shields are addressed, in order to show how future developments may enhance plant resilience. The work presented hereafter represents a highly condensed application of the research done during the XP-RESILIENCE project, while more detailed information is available on the project website https://r.unitn.it/en/dicam/xp-resilience.


2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Prashant H. Bhagat

The BID (Board of Industrial Development) framed the legislation and it was introduced before the state legislation and passed in the form of Maharashtra Industrial Act which gave birth to Maharashtra Industrial Development Corporation (MIDC), as a separate corporation on August 1, 1962. The BID was the first personnel strength of MIDC. A small ceremony at Wagle Estate Thane, under the Chairmanship of the Chief Minister Shri Y.B. Chavan, marked the birth of MIDC on August 1, 1962. The Board of Industrial Development during its existence between October 1, 1960 and August 1, 1962 has done enough spade work to identify the locations for setting up industrial areas in different parts of the state. Thus, right in the first year of establishment MIDC came up with 14 industrial areas, to initiate action for infrastructure and help entrepreneurs set up the industrial units in those areas. Maharashtra Industrial Development Corporation is the nodal industrial infrastructure development agency of the Maharashtra Government with the basic objective of setting up industrial areas with a provision of industrial infrastructure all over the state for planned and systematic industrial development. MIDC is an innovative, professionally managed, and user friendly organization that provides the world industrial infrastructure. MIDC has played a vital role in the development of industrial infrastructure in the state of Maharashtra. As the state steps into the next millennium, MIDC lives up to its motto Udyamat Sakal Samruddhi i.e., prosperity to all through industrialization. Indeed, in the endeavor of the state to retain its prime position in the industrial sector, MIDC has played a pivotal role in the last 35 years. MIDC has developed 268 industrial estates across the state which spread over 52653 hectares of land. The growth of the Corporation, achieved in the various fields, during the last three years, could be gauged from the fact that the area currently in possession of MIDC has doubled from 25,000 hectares in 1995.


Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 303
Author(s):  
Nikolai Krivulin

We consider a decision-making problem to evaluate absolute ratings of alternatives from the results of their pairwise comparisons according to two criteria, subject to constraints on the ratings. We formulate the problem as a bi-objective optimization problem of constrained matrix approximation in the Chebyshev sense in logarithmic scale. The problem is to approximate the pairwise comparison matrices for each criterion simultaneously by a common consistent matrix of unit rank, which determines the vector of ratings. We represent and solve the optimization problem in the framework of tropical (idempotent) algebra, which deals with the theory and applications of idempotent semirings and semifields. The solution involves the introduction of two parameters that represent the minimum values of approximation error for each matrix and thereby describe the Pareto frontier for the bi-objective problem. The optimization problem then reduces to a parametrized vector inequality. The necessary and sufficient conditions for solutions of the inequality serve to derive the Pareto frontier for the problem. All solutions of the inequality, which correspond to the Pareto frontier, are taken as a complete Pareto-optimal solution to the problem. We apply these results to the decision problem of interest and present illustrative examples.


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