scholarly journals A bi-objective model for sustainable logistics and operations planning of WEEE recovery

Author(s):  
Emine Nisa Kapukaya ◽  
Alperen Bal ◽  
Sule Itir Satoglu

The Triple-bottom-line concept suggests that firms must consider the environmental and social impacts of their decisions, beside the economic aspects. Hence, the sustainability of the firms’ operations can be reached. The purpose of this study is to develop a bi-objective, multi-product and multi-period mixed-integer model for the operations planning of electrical-electronic waste (WEEE) recovery facilities, by considering social (workforce) constraints. Main objective is the minimization of net recycling and logistics costs offset by the profit earned by recovered material sales, and second objective is the maximization of hazardous materials recovery.  Collection of used products from the specified regions is decided and the required machine-hours, inventory and workforce decisions are made. Besides, both weight-based and unit-based WEEE recovery targets are separately considered, as a unique aspect. A sensitivity analysis is conducted with various scrap prices to understand operations planning in changing conditions. Results show that weight-based targets enhance recovery amounts.

2021 ◽  
Vol 71 (2) ◽  
pp. 101-110
Author(s):  
Philippe Marier ◽  
Jonathan Gaudreault ◽  
Thomas Noguer

Abstract Planning and scheduling wood lumber drying operations is a very difficult problem. The literature proposes different methods aiming to minimize order lateness. They all make use of pre-established kiln loading patterns that are known to offer good physical stability in the kiln and allow full kiln space utilization. Instead, we propose a mixed integer programming (MIP) model, which can be used to generate loading patterns “on the fly.” This MIP model can be integrated into existing kiln drying operation planning/scheduling systems in order to improve their solutions. We show how this integration can be done by adapting a state of the art drying operations planning and scheduling methodology from the literature. We compare the solutions obtained by this system using the predefined loading patterns versus the solutions it generates if it is connected to our loading patterns generator MIP model. The study shows it is much better to dynamically create loading patterns than to use predefined ones, as most North American sawmills do.


2021 ◽  
Vol 23 (2) ◽  
pp. 147-156
Author(s):  
Annisa Widya Pangestika ◽  
Ova Candra Dewi ◽  
Nisrina Dewi Salsabila

This study aims to review the relation between papercrete and recipanel (wall materials from recycled paper) with indicators of material sustainability in environmental aspects. Recycling paper into wall material is one of the ways to overcome the increasing amount of paper waste in Indonesia. Waste recycling is related to the concept of sustainability, namely the triple bottom line of the concept of sustainability. A literature review of waste management, recycled paper, and recycled paper as wall material were conducted in terms of environmental sustainability. This study was conducted by integrating the theoretical understanding of waste, walls, wall material products from recycled paper and discussion of its impact in terms of the sustainability of recycled paper as alternative wall material. From this study, it was found that the relationship between the characteristics of papercrete and walls on the sustainability of recycled paper brought forward four positive values and two negative values. Meanwhile, the relation between recipanel and wall characteristics on the sustainability of recycled paper carries four positive values and two negative values. Thus, the recycled paper used as wall material with examples of papercrete and recipanel products may still be suitable for use as wall material in Indonesia. Suggestions resulted from this study that might be implemented in the future are to increase the durability of materials derived from recycled paper and to conduct studies that discuss wall materials derived from recycled paper from social and economic aspects in terms of sustainability.


Author(s):  
Cheah Cheng Teik ◽  
Yudi Fernando

The purpose of this chapter is to assess the efficiency, effectiveness, and performance of logistics in transportation of fresh fruit bunches (FFB) in Malaysian estates, which are the growing logistics hubs in plantation management. It also identifies various factors that significantly affect the efficiency, effectiveness, and performance of the Malaysian estate logistics and proposes ways to improve their competitiveness. This study shall empirically explore the causal relationships between lean logistics and triple bottom line on sustainable logistics performance in transportation of FFB in the palm oil industry. The objective is to examine the current state of sustainability efforts within the field of value chain, more specifically logistics performance, and to identify opportunities and provide recommendations for the palm oil industry to follow sustainable performance. This study also aims to stimulate further research within the area of sustainable logistics performance.


Author(s):  
Sanjay Kumar Koli ◽  
Athar Hussain

Electronics waste is becoming a major global issue. Huge accumulation of e-waste and its recycling through primitive means for extraction of precious metals are a real concern in the developing countries due to the presence of hazardous materials in e-waste. The major portion of e-waste generated domestically as well as illegally imported is recycled in a crude manner leading to pollution of the environment. Current practices of e-waste management in India encounters many challenges like the difficulty in inventorization, ineffective regulations, pathetic and unsafe conditions of informal recycling, poor awareness of consumers, and reluctance on part of stakeholders to address the issues. As a result, toxic materials enter waste stream with no special precautions to avoid the known adverse impacts on the environment and human health. Resources are wasted when economically valuable materials are dumped. This chapter highlights the hazards caused due to improper handling of e-wastes and also describes some appropriate measures to be adopted for its management and safe disposal.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bochen Wang ◽  
Qiyuan Qian ◽  
Zheyi Tan ◽  
Peng Zhang ◽  
Aizhi Wu ◽  
...  

This study investigates a multidepot heterogeneous vehicle routing problem for a variety of hazardous materials with risk analysis, which is a practical problem in the actual industrial field. The objective of the problem is to design a series of routes that minimize the total cost composed of transportation cost, risk cost, and overtime work cost. Comprehensive consideration of factors such as transportation costs, multiple depots, heterogeneous vehicles, risks, and multiple accident scenarios is involved in our study. The problem is defined as a mixed integer programming model. A bidirectional tuning heuristic algorithm and particle swarm optimization algorithm are developed to solve the problem of different scales of instances. Computational results are competitive such that our algorithm can obtain effective results in small-scale instances and show great efficiency in large-scale instances with 70 customers, 30 vehicles, and 3 types of hazardous materials.


2020 ◽  
Vol 12 (2) ◽  
pp. 581 ◽  
Author(s):  
Yiyong Xiao ◽  
Pei Yang ◽  
Siyue Zhang ◽  
Shenghan Zhou ◽  
Wenbing Chang ◽  
...  

This paper studies the cyclic dynamic gaming case of the r-interdiction median problem with fortification (CDGC-RIMF), which is important for strengthening a facility’s reliability and invulnerability under various possible attacks. We formulated the CDGC-RIMF as a bi-objective mixed-integer linear programming (MILP) model with two opposing goals to minimize/maximize the loss from both the designer (leader) and attacker (follower) sides. The first goal was to identify the most cost-effective plan to build and fortify the facility considering minimum loss, whereas the attacker followed the designer to seek the most destructive way of attacking to cause maximum loss. We found that the two sides could not reach a static equilibrium with a single pair of confrontational plans in an ordinary case, but were able to reach a dynamically cyclic equilibrium when the plan involved multiple pairs. The proposed bi-objective model aimed to discover the optimal cyclic plans for both sides to reach a dynamic equilibrium. To solve this problem, we first started from the designer’s side with a design and fortification plan, and then the attacker was able to generate their worst attack plan based on that design. After that, the designer changed their plan again based on the attacker’s plan in order to minimize loss, and the attacker correspondingly modified their plan to achieve maximum loss. This game looped until, finally, a cyclic equilibrium was reached. This equilibrium was deemed to be optimal for both sides because there was always more loss for either side if they left the equilibrium first. This game falls into the subgame of a perfect Nash equilibrium—a kind of complete game. The proposed bi-objective model was directly solved by the CPLEX solver to achieve optimal solutions for small-sized problems and near-optimal feasible solutions for larger-sized problems. Furthermore, for large-scale problems, we developed a heuristic algorithm that implemented dynamic iterative partial optimization alongside MILP (DIPO-MILP), which showed better performance compared with the CPLEX solver when solving large-scale problems.


2019 ◽  
Vol 11 (11) ◽  
pp. 3127 ◽  
Author(s):  
Tarik Chargui ◽  
Abdelghani Bekrar ◽  
Mohamed Reghioui ◽  
Damien Trentesaux

In the context of supply chain sustainability, Physical Internet (PI or π ) was presented as an innovative concept to create a global sustainable logistics system. One of the main components of the Physical Internet paradigm consists in encapsulating products in modular and standardized PI-containers able to move via PI-nodes (such as PI-hubs) using collaborative routing protocols. This study focuses on optimizing operations occurring in a Rail–Road PI-Hub cross-docking terminal. The problem consists of scheduling outbound trucks at the docks and the routing of PI-containers in the PI-sorter zone of the Rail–Road PI-Hub cross-docking terminal. The first objective is to minimize the energy consumption of the PI-conveyors used to transfer PI-containers from the train to the outbound trucks. The second objective is to minimize the cost of using outbound trucks for different destinations. The problem is formulated as a Multi-Objective Mixed-Integer Programming model (MO-MIP) and solved with CPLEX solver using Lexicographic Goal Programming. Then, two multi-objective hybrid meta-heuristics are proposed to enhance the computational time as CPLEX was time consuming, especially for large size instances: Multi-Objective Variable Neighborhood Search hybridized with Simulated Annealing (MO-VNSSA) and with a Tabu Search (MO-VNSTS). The two meta-heuristics are tested on 32 instances (27 small instances and 5 large instances). CPLEX found the optimal solutions for only 23 instances. Results show that the proposed MO-VNSSA and MO-VNSTS are able to find optimal and near optimal solutions within a reasonable computational time. The two meta-heuristics found optimal solutions for the first objective in all the instances. For the second objective, MO-VNSSA and MO-VNSTS found optimal solutions for 7 instances. In order to evaluate the results for the second objective, a one way analysis of variance ANOVA was performed.


Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 61
Author(s):  
Dhirendra Prajapati ◽  
M. Manoj Kumar ◽  
Saurabh Pratap ◽  
H. Chelladurai ◽  
Mohd Zuhair

In the recent era, the rapidly increasing trend of e-commerce business creates opportunities for logistics service providers to grow globally. With this growth, the concern regarding the implementation of sustainability in logistic networks has received attention in recent years. Thus, in this work, we have focused on the vehicle routing problem (VRP) to deliver the products in a lesser time horizon with driver safety concern considerations in business (B2B) e-commerce platforms. We proposed a sustainable logistics network that captures the complexities of suppliers, retailers, and logistics service providers. A mixed-integer nonlinear programming (MINLP) approach is applied to formulate a model to minimize total time associated with order processing, handling, packaging, shipping, and vehicle maintenance. Branch-and-bound algorithms in the LINGO optimization tool and genetic algorithm (GA) are used to solve the formulated mathematical model. The computational experiments are performed in eight different case scenarios (small-sized problem to large-sized problem) to validate the model.


Author(s):  
Cheah Cheng Teik ◽  
Yudi Fernando

The purpose of this paper is to assess the efficiency, effectiveness and performance of logistics in transportation of Fresh Fruit Bunches (FFB) in Malaysian estates which are the growing logistics hubs in plantation management. It also identifies various factors that significantly affect the efficiency, effectiveness and performance of the Malaysian estate logistics and proposes ways to improve their competitiveness. This study shall empirically explore the causal relationships between Lean Logistics and Triple Bottom Line on Sustainable Logistics Performance in transportation of FFB in the Palm Oil Industry. The objective is to examine the current state of sustainability efforts within the field of value chain, more specifically logistics performance, and to identify opportunities and provide recommendations for the palm oil industry to follow sustainable performance. This study also aims to stimulate further research within the area of sustainable logistics performance.


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