facility locations
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2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Tadashi Nakasu ◽  
Ruttiya Bula-Or ◽  
Sutee Anantsuksomsri ◽  
Sutpratana Duangkaew ◽  
Kullachart Prathumchai ◽  

Purpose The purpose of this paper is to measure the capacities and identify the vulnerabilities of the communities to contribute to their flood disaster risk management. Design/methodology/approach Questionnaire-style surveys and interviews in the four target communities and 25 critical facilities have been used. Their flood experience is also collected to explore the practical risk management solutions and preserve those as their local assets. Findings Findings show the capacity gaps among the target communities. For instance, the relatively populated urbanized communities tend to have high capacities. On the other hand, the not-so-populated farmer-based communities have low capacities, tending to focus more on droughts than floods, and lack scientific information. This research also identifies vulnerability groups and critical facility locations on the map with narratives. Originality/value The findings enable the communities to clarify their updated capacities, examine the vulnerabilities, identify the risks with possible hazard information and guide them to cope with flood risk to protect them with self, mutual and public help. This study can contribute to other industrial parks/estates in Thailand and anywhere in the world as an insightful reference to build resilient industrial complex areas.

Sinan Dündar ◽  
Hüdaverdi Bircan ◽  
Hasan Eleroğlu

Compared to industrial wastes, the recycling of agricultural wastes is more efficient because they are organic. The low organic matter content of Anatolian agricultural lands makes the recycling of agricultural wastes even more important. In the Samsun region, compost centres are recommended in order to help increase productivity in agricultural production, develop agricultural activities and ensure rural development. It is very important to use natural fertilizers because it is to protect and improve the organic structure of the soil. The low production costs of organic fertilizers compared to chemical fertilizers provide an advantage to farmers and prevent foreign exchange loss. In this study, it is aimed to determine the animal existence and optimum facility locations for evaluation of animal wastes as compost in Samsun. For this purpose, the number of animals of the enterprises in the region was determined by using the data obtained from Samsun Provincial Directorate of Agriculture and Forestry. The coordinates of the settlements of 1,284 enterprises with bovine capacity of 40 or more in Samsun were determined according to the rectangular coordinate system. In terms of animal distribution in Samsun province, 27 cluster numbers were preferred through Elbow method and f(K) Function method. The location of most suitable compost production centres according to the distance and the total number of animals was determined by the K-Means clustering analysis method using geographical coordinates. For Samsun, the group size was taken as 2,000-10,000 cattle and the enterprises with a focal length less than 15 km were included in the compost production clusters. In line with these criteria, 10 compost production clusters for compost production have been determined in Samsun and the locations of these cluster centres are shown on the map in a way that will provide the most efficient information to investors and relevant institutions.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Vala Ali Rohani ◽  
Jahan Ara Peerally ◽  
Sedigheh Moghavvemi ◽  
Flavio Guerreiro ◽  
Tiago Pinho

PurposeThis study illustrates the experience of scholar–practitioner collaboration for data-driven decision-making through the problematic of optimizing facility locations and minimizing logistics costs for La Palette Rouge (LPR) of Portugal.Design/methodology/approachThe authors used a mixed mixed-method approach involving (1) a quantitative exploratory analysis of big data, which applied analytics and mathematical modeling to optimize LPR's logistics network, and (2) an illustrative case of scholar–practitioner collaboration for data-driven decision-making.FindingsThe quantitative analysis compared more than 20 million possible configurations and proposed the optimal logistics structures. The proposed optimization model minimizes the logistics costs by 22%. Another optimal configuration revealed that LPR can minimize logistics costs by 12% through closing one of its facilities. The illustrative description demonstrates that well-established resource-rich multinational enterprises do not necessarily have the in-house capabilities and competencies to handle and analyze big data.Practical implicationsThe mathematical modeling for optimizing logistics networks demonstrates that outcomes are readily actionable for practitioners and can be extended to other country and industry contexts with logistics operations. The case illustrates that synergistic relationships can be created, and the opportunities exist between scholars and practitioners in the field of Logistics 4.0 and that scientific researcher is necessary for solving problems and issues that arise in practice while advancing knowledge.Originality/valueThe study illustrates that several Logistics 4.0 challenges highlighted in the literature can be collectively addressed through scholar–practitioner collaborations. The authors discuss the implications of such collaborations for adopting virtual and augmented reality (AR) technologies and to develop the capabilities for maximizing their benefits in mature low-medium technology industries, such as the food logistics industry.

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Reza Lotfi ◽  
Soroush Safavi ◽  
Alireza Gharehbaghi ◽  
Sara Ghaboulian Zare ◽  
Reza Hazrati ◽  

Nowadays, using Blockchain Technology (BCT) is growing faster in each country. It is essential to apply BCT in Supply Chain Network Design (SCND) and is considered by the designer and manager of SC. This research indicates Viable Supply Chain Network Design (VSCND) by applying BCT. A new form of two-stage robust optimization is suggested. Facility locations and activation BCT for VSCND is the first stage of decisions; finally, we determine flow transshipment between components in the next stage. The GAMS-CPLEX is used for solving the model. The results show that running BCT will decrease 0.99% in costs. There is an economic justification for using BCT when demand is high. A fix-and-optimize and Lagrange relaxation (LR) generate lower and upper bound to estimate large scale in minimum time. The gap between the main model and fix-and-optimize is better than the LR algorithm. Finally, this research suggests equipping VSCND by BCT that becomes more resilient against demand fluctuation, sustainable, and agile.

Junming Liu ◽  
Weiwei Chen ◽  
Jingyuan Yang ◽  
Hui Xiong ◽  
Can Chen

The emergence of online retailers has brought new opportunities to the design of their distribution networks. Notably, for online retailers that do not operate offline stores, their target customers are more sensitive to the quality of logistic services, such as delivery speed and reliability. This paper is motivated by a leading online retailer for cosmetic products on Taobao.com that aimed to improve its logistics efficiency by redesigning its centralized distribution network into a multilevel one. The multilevel distribution network consists of a layer of primary facilities to hold stocks from suppliers and transshipment and a layer of secondary facilities to provide last-mile delivery. There are two major challenges of designing such a facility network. First, online customers can respond significantly to the change of logistics efficiency with the redesigned network, thereby rendering the network optimized under the original demand distribution suboptimal. Second, because online retailers have relatively small sales volumes and are very flexible in choosing facility locations, the facility candidate set can be large, causing the facility location optimization challenging to solve. To this end, we propose an iterative prediction-and-optimization strategy for distribution network design. Specifically, we first develop an artificial neural network (ANN) to predict customer demands, factoring in the logistic service quality given the network and the city-level purchasing power based on demographic statistics. Then, a mixed integer linear programming (MILP) model is formulated to choose facility locations with minimum transportation, facility setup, and package processing costs. We further develop an efficient two-stage heuristic for computing high-quality solutions to the MILP model, featuring an agglomerative hierarchical clustering algorithm and an expectation and maximization algorithm. Subsequently, the ANN demand predictor and two-stage heuristic are integrated for iterative network design. Finally, using a real-world data set, we validate the demand prediction accuracy and demonstrate the mutual interdependence between the demand and network design. Summary of Contribution: We propose an iterative prediction-and-optimization algorithm for multilevel distribution network design for e-logistics and evaluate its operational value for online retailers. We address the issue of the interplay between distribution network design and the demand distribution using an iterative framework. Further, combining the idea in operational research and data mining, our paper provides an end-to-end solution that can provide accurate predictions of online sales distribution, subsequently solving large-scale optimization problems for distribution network design problems.

2021 ◽  
Kuo-Chi Yen ◽  
Weid Chang ◽  
Wu-Chiao Shih

Abstract Industrial and economic development is primarily applied to densely populated urban areas. If a sudden disaster occurs in such areas, the consequences can be severe. Shelter facility location affects the implementation of postdisaster relief work. This study explored residents’ perceived utility of evacuation time, their risk utility for road blocking, and the cost factors associated with constructing shelter facilities in the context of governance. A location model for emergency shelter facilities in cities was established on the basis of the aforementioned factors. Because the resolution of the random-weighted genetic algorithm (RWGA) is susceptible to influence from random weights, a robustness random-weighted method (RRWM) was developed. The validity and feasibility of the location model were examined through numerical analysis. Finally, the convergence of the RRWM was analyzed and compared with that of the RWGA and a single-objective genetic algorithm. The results revealed that the proposed algorithm exhibited satisfactory performance and can assist in evaluation and decision-making related to the selection of urban shelter facility locations.

2021 ◽  
Vol 11 (16) ◽  
pp. 7321
Xuehong Gao ◽  
Chanseok Park ◽  
Xiaopeng Chen ◽  
En Xie ◽  
Guozhong Huang ◽  

The continuous-space single- and multi-facility location problem has attracted much attention in previous studies. This study focuses on determining the globally optimal facility locations for two- and higher-dimensional continuous-space facility location problems when the Manhattan distance is considered. Before we propose the exact method, we start with the continuous-space single-facility location problem and obtain the global minimizer for the problem using a statistical approach. Then, an exact method is developed to determine the globally optimal solution for the two- and higher-dimensional continuous-space facility location problem, which is different from the previous clustering algorithms. Based on the newly investigated properties of the minimizer, we extend it to multi-facility problems and transfer the continuous-space facility location problem to the discrete-space location problem. To illustrate the effectiveness and efficiency of the proposed method, several instances from a benchmark are provided to compare the performances of different methods, which illustrates the superiority of the proposed exact method in the decision-making of the continuous-space facility location problems.

2021 ◽  
Vol 13 (14) ◽  
pp. 7928
Songyot Kitthamkesorn ◽  
Anthony Chen ◽  
Sathaporn Opasanon ◽  
Suwicha Jaita

Park and ride (P&R) facilities provide intermodal transfer between private vehicles and public transportation systems to alleviate urban congestion. This study developed a mathematical programming formulation for determining P&R facility locations. A recently developed Weibit-based model was adopted to represent the traveler choice behavior with heterogeneity. The model’s independence of irrelevant alternatives (IIA) property was explored and used to linearize its nonlinear probability. Some numerical examples are provided to demonstrate a feature of the proposed mixed integer linear programing (MILP). The results indicate a significant impact of route-specific perception variance on the optimal P&R facility locations in a real-size transportation network.

2021 ◽  
pp. 216507992110038
Barbara I. Braun ◽  
Hasina Hafiz ◽  
Shweta Singh ◽  
Mushira M. Khan

Background: Violent workplace deaths among health care workers (HCWs) remain understudied in the extant literature despite the potential for serious long-term implications for staff and patient safety. This descriptive study summarized the number and types of HCWs who experienced violent deaths while at work, including the location in which the fatal injury occurred. Methods: Cases were identified from the Centers for Disease Control and Prevention’s National Violent Death Reporting System between 2003 and 2016. Coded variables included type of HCW injured, type of facility, and location within the facility and perpetrator type among homicides. Frequencies were calculated using Excel. Findings: Among 61 HCW deaths, 32 (52%) were suicides and 21 (34%) were homicides; eight (13%) were of undetermined intent. The occupations of victims included physicians (28%), followed by nurses (21%), administration/support operations (21%), security and support services (16%), and therapists and technicians (13%). Most deaths occurred in hospitals (46%) and nonresidential treatment services (20%). Within facility, locations included offices/clinics (20%) and wards/units (18%). Among homicide perpetrators, both Type II (perpetrator was client/patient/family member) and Type IV (personal relationship to perpetrator) were equally common (33%). Conclusion/ Applications to Practice: Suicide was more common than homicide among HCW fatal injuries. Workplace violence prevention programs may want to consider both types of injuries. Although fatal HCW injuries are rare, planning for all types of violent deaths could help minimize consequences for staff, patients, and visitors.

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