Pub Date : 2018-11-12DOI: 10.1108/978-1-78756-803-720181006
C. Oliveira, M. D’agosto, D. Gonçalves, R. Bandeira, G. Goes, L. Marujo
Abstract The last mile of parcel deliveries is a key process to service providers, with global costs that reach up to 70 billion euros per year. Moreover, due to urban population growth and to the rise of e-commerce, the importance of last-mile deliveries and its impacts to the environment and quality of life in cities tend to increase even more. This chapter proposes a more comprehensive methodology to assess alternative last-mile distribution strategies in terms of environmental and economic aspects and presents an application to the distribution of a postal company located in the city of Rio de Janeiro, Brazil. We evaluated the use of small electric vehicles (i.e., tricycles) in the last mile deliveries by assessing two scenarios: (1) the baseline scenario using a light commercial vehicle and (2) a scenario using electric tricycles. Results indicated that the use of electric tricycle is a more feasible alternative regarding the economic and environmental aspects as well as to maintain the service level of the company.
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Pub Date : 2018-11-12DOI: 10.1108/978-1-78756-803-720181001
C. V. M. Josué, Yoshida Yoshizaki Hugo Tsugunobu, M. Christopher
{"title":"Introduction to Supply Chain Management and Logistics in Latin America","authors":"C. V. M. Josué, Yoshida Yoshizaki Hugo Tsugunobu, M. Christopher","doi":"10.1108/978-1-78756-803-720181001","DOIUrl":"https://doi.org/10.1108/978-1-78756-803-720181001","url":null,"abstract":"","PeriodicalId":139052,"journal":{"name":"Supply Chain Management and Logistics in Latin America","volume":"6 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":"125228271","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}
Pub Date : 2018-11-12DOI: 10.1108/978-1-78756-803-720181004
Rojas-Trejos Carlos Alberto, González-Velasco Julián
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).
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Pub Date : 2018-11-12DOI: 10.1108/978-1-78756-803-720181012
{"title":"Index","authors":"","doi":"10.1108/978-1-78756-803-720181012","DOIUrl":"https://doi.org/10.1108/978-1-78756-803-720181012","url":null,"abstract":"","PeriodicalId":139052,"journal":{"name":"Supply Chain Management and Logistics in Latin America","volume":"9 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":"125264478","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}
Pub Date : 2018-11-12DOI: 10.1108/978-1-78756-803-720181007
L. Jorge, A. David
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.
世界主要城市城区的快速发展无疑是城市官员最关心的问题之一。在拉丁美洲，数据显示，目前81%的居民居住在城市地区，计算预测这一比例将会增加。在这种情况下，城市物流对该区域及其城市的整体绩效将变得越来越重要。本研究的主要目标是制定一套关键绩效指标(kpi)，以补充麻省理工学院开发的平方公里(km2)方法，并将其应用于哥伦比亚波哥大被称为“T区”的高度密集的HORECA(酒店、餐厅、咖啡店)区域，因为这是一个需要最佳分配的关键区域。通过观察收集商店库存(商店、餐馆、药店等)、车辆计数(汽车、公共汽车、摩托车、卡车等)、产品交付(按类型:易腐品、杂货、清洁用品等)和交通中断等数据。在文献综述和研究结果的基础上，提出了运营(平均距离和门店覆盖率、服务时间和服务率、门店密度、配送点、配送难易程度和车辆配送系数)、能源和环境(油耗和排放)和交通(交通密度、速度和每车道交通量)三类13个kpi。主要结果显示，卡车到仓库的平均距离为62 m，服务时间为18:36 min，油耗和排放分别为1.019 gal和9.1 kg CO2e，交通密度为421辆/h，以及全文描述的其他结果。
{"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}
Pub Date : 2018-11-12DOI: 10.1108/978-1-78756-803-720181003
Rabello Rômulo Louzada, Regis Mauri Geraldo, Mattos Ribeiro Glaydston
Abstract This 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.
{"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}
Pub Date : 2018-11-12DOI: 10.1108/978-1-78756-803-720181013
{"title":"Prelims","authors":"","doi":"10.1108/978-1-78756-803-720181013","DOIUrl":"https://doi.org/10.1108/978-1-78756-803-720181013","url":null,"abstract":"","PeriodicalId":139052,"journal":{"name":"Supply Chain Management and Logistics in Latin America","volume":"219 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":"115549502","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}
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