Supply Chain Management and Logistics in Latin America最新文献

Evaluation of Best Practices Introduction for the Managerial Improvement in Urban Freight Transport 城市货运管理改进的最佳实践评价

Supply Chain Management and Logistics in Latin America Pub Date : 2018-11-12 DOI: 10.1108/978-1-78756-803-720181006

C. Oliveira, M. D’agosto, D. Gonçalves, R. Bandeira, G. Goes, L. Marujo

引用次数: 3

Introduction to Supply Chain Management and Logistics in Latin America 拉丁美洲供应链管理与物流概论

Supply Chain Management and Logistics in Latin America Pub Date : 2018-11-12 DOI: 10.1108/978-1-78756-803-720181001

C. V. M. Josué, Yoshida Yoshizaki Hugo Tsugunobu, M. Christopher

引用次数: 3

A Multicriteria Location Model for a Solid Waste Disposal Center in Valle Del Cauca, Colombia 哥伦比亚考卡谷固体废物处理中心的多标准选址模型

Supply Chain Management and Logistics in Latin America Pub Date : 2018-11-12 DOI: 10.1108/978-1-78756-803-720181004

Rojas-Trejos Carlos Alberto, González-Velasco Julián

{"title":"A Multicriteria Location Model for a Solid Waste Disposal Center in Valle Del Cauca, Colombia","authors":"Rojas-Trejos Carlos Alberto, González-Velasco Julián","doi":"10.1108/978-1-78756-803-720181004","DOIUrl":"https://doi.org/10.1108/978-1-78756-803-720181004","url":null,"abstract":"Waste production is one of the most important problems that humankind faces. Human-based activities generate diverse waste types that have to be treated and disposed differently. This results in the need to build more facilities to manage the waste and to avoid further environmental damage. Colombia established a successful policy to close open dumps and to control pollution. Notwithstanding the advances that have been made in final disposal, it is necessary to extend the life of the final disposal sites and increase the closure of open landfills. Valle del Cauca is the third most populated Colombian province, and it is also considered the third province that generates more waste. This chapter addresses the problem of locating solid waste disposal centers in Valle del Cauca by applying the analytic hierarchy process (AHP) with fuzzy logic, a multicriteria method that compares opinions of a decision-making group. Additionally, each potential location area is characterized by considering industrial and environmental issues, societal dynamics, infrastructure and topography, costs, and taxes. After applying a variant of AHP, the decision-making group was able to find that Jamundi is the best location to open the disposal center. The method shows strong potential to identify and prioritize alternative locations for a diverse group of stakeholders. Most importantly, the methodology lets us structure better qualitative and quantitative data, as well as to link multiple levels to avoid choosing locations that will affect society, environment, and other stakeholders, without considering the trade-offs among diverse criteria considering benefits, opportunities, costs, and risks (BOCR).","PeriodicalId":139052,"journal":{"name":"Supply Chain Management and Logistics in Latin America","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133488961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Index 指数

Supply Chain Management and Logistics in Latin America Pub Date : 2018-11-12 DOI: 10.1108/978-1-78756-803-720181012

引用次数: 0

Analysis of Urban Logistics Measures in an HORECA Intensive Area HORECA密集区城市物流对策分析

Supply Chain Management and Logistics in Latin America Pub Date : 2018-11-12 DOI: 10.1108/978-1-78756-803-720181007

L. Jorge, A. David

{"title":"Analysis of Urban Logistics Measures in an HORECA Intensive Area","authors":"L. Jorge, A. David","doi":"10.1108/978-1-78756-803-720181007","DOIUrl":"https://doi.org/10.1108/978-1-78756-803-720181007","url":null,"abstract":"The fast growth of urban areas in major cities worldwide is undoubtedly one of the biggest concerns for city officials. In Latin America, data show that currently 81% of its inhabitants live in urban areas, and calculations forecast an increase in this percentage. In this context, urban logistics would become increasingly important in the overall performance of the region and its cities. The main objective of this study was to develop a set of key performance indicators (KPIs) to complement the square kilometer (km2) methodology developed by MIT, applying it in a highly intensive HORECA (hotels, restaurant, coffee shops) area known as “Zona T (The T Zone)” in Bogota, Colombia, as this is a critical area where distribution needs to be performed at its best. Data such as shop inventory (stores, restaurants, drugstores, etc.), vehicle counting (cars, buses, motorbikes, trucks, etc.), product deliveries (by type: perishables, groceries, cleaning supplies, etc.), and traffic disruptions were collected through observation. Based on literature review and results of the study, 13 KPIs are proposed in three categories: operational (average distance and store coverage, service time & service rate, store density, delivery points, easiness for delivery and vehicle delivery factor), energy and environmental (fuel consumption and emissions), and traffic (traffic density, speed and traffic per lane). The main results show a 62-m average distance from truck to store, service time of 18:36 min, 1.019 gal and 9.1 kg CO2e of fuel consumption and emission, respectively, traffic density of 421 vehicles/h, and other results described throughout the document.","PeriodicalId":139052,"journal":{"name":"Supply Chain Management and Logistics in Latin America","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122255697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hybrid Heuristic Method to Solve a Two-Stage Capacitated Facility Location Problem 求解两阶段可容设施选址问题的混合启发式方法

Supply Chain Management and Logistics in Latin America Pub Date : 2018-11-12 DOI: 10.1108/978-1-78756-803-720181003

Rabello Rômulo Louzada, Regis Mauri Geraldo, Mattos Ribeiro Glaydston

{"title":"Hybrid Heuristic Method to Solve a Two-Stage Capacitated Facility Location Problem","authors":"Rabello Rômulo Louzada, Regis Mauri Geraldo, Mattos Ribeiro Glaydston","doi":"10.1108/978-1-78756-803-720181003","DOIUrl":"https://doi.org/10.1108/978-1-78756-803-720181003","url":null,"abstract":"Abstract \u0000This chapter proposes a hybrid heuristic method combining a clustering search (CS) metaheuristic with an exact algorithm to solve a two-stage capacitated facility location problem (TSCFLP). The TSCFLP consists of defining the optimal locations of plants and depots and the product flow from plants to depots (first stage) and from depots to customers (second stage). The problem deals commonly with cargo transportation in which products must be transported from a set of plants to meet customers’ demands passing out by intermediate depots. The main decisions to be made are related to define which plants and depots must be opened from a given set of potential locations, which customer to assign to each one of the opened depots, and the amount of product flow from the plants to the depots and from the depots to the customers. The objective is to minimize costs satisfying demand and capacity constraints. Computational results demonstrate that our method was able to find good solutions when comparing it directly with a commercial solver and a genetic algorithm (GA) reported in a recent chapter found in the literature, requiring less than 1.5% and 41% of the computational time performed by these methods, respectively. Thus, our hybrid method combining CS with an exact algorithm can be considered as a new matheuristic to solve the TSCFLP.","PeriodicalId":139052,"journal":{"name":"Supply Chain Management and Logistics in Latin America","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127233760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Prelims 预备考试

Supply Chain Management and Logistics in Latin America Pub Date : 2018-11-12 DOI: 10.1108/978-1-78756-803-720181013

引用次数: 0