scholarly journals Design of Small LNG Supply Chain by Multi-Period Optimization

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6704
Author(s):  
Alice Bittante ◽  
Henrik Saxén
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Mixed Integer Linear Programming ◽  
Time Horizon ◽  
Coastal Region ◽  
Supply Chain Design ◽  
Mixed Integer ◽  
Small Scale ◽  
Flexible Tool ◽  
Integer Linear Programming Problem

A mathematical model for the design of small-scale supply chains for liquefied natural gas (LNG) has been developed. It considers the maritime delivery of LNG from supply ports to satellite terminals and land-based transports from the terminals to consumers on or off the coast. Both tactical and strategic aspects in the supply chain design are addressed by optimizing the maritime routing of a heterogeneous fleet of ships, truck connections, and the locations of the satellite terminals. The objective is to minimize the overall cost, including operation and investment costs for the selected time horizon. The model is expressed as a mixed-integer linear programming problem, applying a multi-period formulation to determine optimal storage sizes and inventory at the satellite terminals. Two case studies illustrate the model, where optimal LNG supply chains for a region with sparsely distributed island (without land transports) and a coastal region at a gulf (with both sea and land transports) are designed. The model is demonstrated to be a flexible tool suited for the initial design and feasibility analysis of small-scale LNG supply chains.

How can mixed integer linear programming assist dairy manufacturers by integrating supply decisions and production planning?

2021 ◽  
Vol 11 (2) ◽  
pp. 178-193
Author(s):  
Juliana Emidio ◽  
Rafael Lima ◽  
Camila Leal ◽  
Grasiele Madrona
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Dairy Products ◽  
Raw Milk ◽  
Mixed Integer ◽  
Content Type ◽  
Proposed Model ◽  
By Products

PurposeThe dairy industry needs to make important decisions regarding its supply chain. In a context with many available suppliers, deciding which of them will be part of the supply chain and deciding when to buy raw milk is key to the supply chain performance. This study aims to propose a mathematical model to support milk supply decisions. In addition to determining which producers should be chosen as suppliers, the model decides on a milk pickup schedule over a planning horizon. The model addresses production decisions, inventory, setup and the use of by-products generated in the raw milk processing.Design/methodology/approachThe model was formulated using mixed integer linear programming, tested with randomly generated instances of various sizes and solved using the Gurobi Solver. Instances were generated using parameters obtained from a company that manufactures dairy products to test the model in a more realistic scenario.FindingsThe results show that the proposed model can be solved with real-world sized instances in short computational times and yielding high quality results. Hence, companies can adopt this model to reduce transportation, production and inventory costs by supporting decision making throughout their supply chains.Originality/valueThe novelty of the proposed model stems from the ability to integrate milk pickup and production planning of dairy products, thus being more comprehensive than the models currently available in the literature. Additionally, the model also considers by-products, which can be used as inputs for other products.

scholarly journals A multi-objective approach under uncertainty for designing a green meat supply chain network

2021 ◽  
Author(s):  
Fatemeh Mohebalizadehgashti
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Environmental Concerns ◽  
Supply Chain Network ◽  
Food Supply Chain ◽  
Multi Objective ◽  
Proposed Model

Traditional logistics management has not focused on environmental concerns when designing and optimizing food supply chain networks. However, the protection of the environment is one of the main factors that should be considered based on environmental protection regulations of countries. In this thesis, environmental concerns with a mathematical model are investigated to design and configure a multi-period, multi-product, multi-echelon green meat supply chain network. A multi-objective mixed-integer linear programming formulation is developed to optimize three objectives simultaneously: minimization of the total cost, minimization of the total CO2 emissions released from transportation, and maximization of the total capacity utilization. To demonstrate the efficiency of the proposed optimization model, a green meat supply chain network for Southern Ontario, Canada is designed. A solution approach based on augmented εε-constraint method is developed for solving the proposed model. As a result, a set of Pareto-optimal solutions is obtained. Finally, the impacts of uncertainty on the proposed model are investigated using several decision trees. Optimization of a food supply chain, particularly a meat supply chain, based on multiple objectives under uncertainty using decision trees is a new approach in the literature. Keywords: Meat supply chain; Decision tree; Multi-objective programming; Mixed-integer linear programming; Augmented εε-constraint.

scholarly journals A fuzzy approach to multi-objective mixed integer linear programming model for multi-echelon closed-loop supply chain with multi-product multi-time-period

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Sema Akin Bas ◽  
Beyza Ahlatcioglu Ozkok
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Closed Loop ◽  
Mixed Integer ◽  
Fuzzy Approach ◽  
Closed Loop Supply Chain ◽  
Multi Objective ◽  
Time Period

By the green point of view, supply chain management (SCM), which contains supplier and location selection, production, distribution, and inventory decisions, is an important subject being examined in recent years by both practitioners and academicians. In this paper, the closed-loop supply chain (CLSC) network that can be mutually agreed by meeting at the level of common satisfaction of conflicting objectives is designed. We construct a multi-objective mixed-integer linear programming (MOMILP) model that allows decision-makers to more effectively manage firms’ closed-loop green supply chain (SC). An ecological perspective is brought by carrying out the recycling, remanufacturing and destruction to SCM in our proposed model. Maximize the rating of the regions in which they are located, minimize total cost and carbon footprint are considered as the objectives of the model. By constructing our model, the focus of customer satisfaction is met, as well as the production, location of facilities and order allocation are decided, and we also carry out the inventory control of warehouses. In our multi-product multi-component multi-time-period model, the solution is obtained with a fuzzy approach by using the min operator of Zimmermann. To illustrate the model, we provide a practical case study, and an optimal result containing a preferable level of satisfaction to the decision-maker is obtained.

Optimal Design and Operation of Supply Chain Networks under Demand Uncertainty

2011 ◽  
pp. 73-108
Author(s):  
Michael C. Georgiadis ◽  
Pantelis Longinidis
Keyword(s):  
Supply Chain ◽  
Demand Uncertainty ◽  
Mathematical Formulation ◽  
Life Time ◽  
Mixed Integer ◽  
Global Optimality ◽  
Supply Chain Networks ◽  
Integer Linear Programming Problem ◽  
Complex Interactions ◽  
Varying Demand

This chapter considers a detailed mathematical formulation for the problem of designing supply chain networks comprising multiproduct production facilities with shared production resources, warehouses, distribution centers and customer zones and operating under time varying demand uncertainty. Uncertainty is captured in terms of a number of likely scenarios possible to materialize during the life time of the network. The problem is formulated as a mixed-integer linear programming problem and solved to global optimality using standard branch-and-bound techniques. A case study concerned with the establishment of Europe-wide supply chain is used to illustrate the applicability and efficiency of the proposed approach. The results obtained provide a good indication of the value of having a model that takes into account the complex interactions that exist in such networks and the effect of inventory levels to the design and operation.

Integrating Multi-View Model and Agent Paradigm in the Supply Chain Design

2016 ◽  
pp. 155-177
Author(s):  
Souheila Boudouda ◽  
Mahmoud Boufaida
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Conceptual Model ◽  
Methodological Approach ◽  
Supply Chain Design ◽  
Conceptual Level ◽  
Meta Model ◽  
Negotiation Protocol ◽  
Operational Level ◽  
Different Characteristics

The aim of the presented work is to contribute to the field of the supply chain design that spans multiple organizations. It is based on a methodological approach that outlines two main results: a conceptual model and an operational one. These two models take into account the different characteristics and mechanisms of the supply chain. The conceptual level is based on four views: product, organizational, functional and informational. At this level, a meta-model that contains the basic generic concepts of the supply chain is proposed. The operational level uses the agent paradigm to model the different actors of the supply chain and the relationships between them. According to the characteristics of supply chains, a negotiation protocol between the different agents is presented. Simulations prove that the presented negotiation protocol can increase the efficiency and successful cooperation ratio for supply chain negotiation.

Integrating Multi-View Model and Agent Paradigm in the Supply Chain Design

2015 ◽  
Vol 7 (1) ◽  
pp. 32-54
Author(s):  
Souheila Boudouda ◽  
Mahmoud Boufaida
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Conceptual Model ◽  
Methodological Approach ◽  
Supply Chain Design ◽  
Conceptual Level ◽  
Meta Model ◽  
Negotiation Protocol ◽  
Operational Level ◽  
Different Characteristics

The aim of the presented work is to contribute to the field of the supply chain design that spans multiple organizations. It is based on a methodological approach that outlines two main results: a conceptual model and an operational one. These two models take into account the different characteristics and mechanisms of the supply chain. The conceptual level is based on four views: product, organizational, functional and informational. At this level, a meta-model that contains the basic generic concepts of the supply chain is proposed. The operational level uses the agent paradigm to model the different actors of the supply chain and the relationships between them. According to the characteristics of supply chains, a negotiation protocol between the different agents is presented. Simulations prove that the presented negotiation protocol can increase the efficiency and successful cooperation ratio for supply chain negotiation.

scholarly journals Digital Supply Chain Management in the Videogames Industry: A Systematic Literature Review

2020 ◽  
Author(s):  
Stephen Kelly ◽  
Vojtech Klézl ◽  
John Israilidis ◽  
Neil Malone ◽  
Stuart Butler
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Supply Chain Design ◽  
Future Research ◽  
Technological Innovations ◽  
Chain Management ◽  
Practice Recommendations ◽  
Management Literature ◽  
New Research

AbstractAs industries mature, they rely more heavily on supply chain management (SCM) to ensure effective operations leading to greater levels of organisational performance. SCM has been widely covered in many industrial areas and, in line with other burgeoning sectors such as Tourism, an industry focus provides the opportunity to look in-depth at the context-based factors that affect SCM. Developments in digital distribution and rapid technological innovations have resulted in an increased focus on Digital Supply Chains (DSCs), which bring about significant changes to how consumers, customers, suppliers, and manufacturers interact, affecting supply chain design and processes. Through a systematic review of the Videogames Industry Supply Chain Management literature, which serves as a pertinent contextual example of a DSC, we look at how supply chains are affected by structural, market and technological change, such as increased platformisation, disintermediation and the proliferation of digital distribution. We distil these findings into a new research agenda, which identifies themes in line with extant DSC research, provides a series of relevant practice recommendations and identifies opportunities for future research.

scholarly journals Optimal Design of Bioenergy Supply Chains Considering Social Benefits: A Case Study in Northeast China

Processes ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 437 ◽  
Author(s):  
Cong Gao ◽  
Daogang Qu ◽  
Yang Yang
Keyword(s):  
Supply Chain ◽  
Optimal Design ◽  
Supply Chains ◽  
Northeast China ◽  
Liaoning Province ◽  
Mixed Integer ◽  
Social Benefits ◽  
Economic Activities ◽  
The Social ◽  
The Government

Bioenergy supply chains can offer social benefits. In most related research, the total number of created jobs is used as the indicator of social benefits. Only a few of them quantify social benefits considering the different impact of economic activities in different locations. In this paper, a new method of measuring the social benefits of bioethanol supply chains is proposed that considers job creation, biomass purchase, and the different impacts of economic activities in different locations. A multi-objective mixed integer linear programming (MILP) model is developed to address the optimal design of a bioethanol supply chain that maximizes both economic and social benefits. The ε-constraint method is employed to solve the model and a set of Pareto-optimal solutions is obtained that shows the relationship between the two objectives. The developed model is applied to case studies in Liaoning Province in Northeast China. Actual data are collected as practical as possible for the feasibility and effectiveness of the results. The results show that the bioethanol supply chain can bring about both economic and social benefits in the given area and offers governments a better and more efficient way to create social benefits. The effect of the government subsidy on enterprises’ decisions about economic and social benefits is discussed.

scholarly journals Numerical Evaluation of Sample Gathering Solutions for Mobile Robots

2019 ◽  
Vol 9 (4) ◽  
pp. 791 ◽  
Author(s):  
Adrian Burlacu ◽  
Marius Kloetzer ◽  
Cristian Mahulea
Keyword(s):  
Mixed Integer Linear Programming ◽  
Numerical Evaluation ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Problem Instance ◽  
Storage Facility ◽  
Optimal Assignment ◽  
Integer Linear Programming Problem ◽  
Optimal Movement ◽  
The Mathematical Model

This paper applies mathematical modeling and solution numerical evaluation to the problem of collecting a set of samples scattered throughout a graph environment and transporting them to a storage facility. A team of identical robots is available, where each robot has a limited amount of energy and it can carry one sample at a time. The graph weights are related to energy and time consumed for moving between adjacent nodes, and thus, the task is transformed to a specific optimal assignment problem. The design of the mathematical model starts from a mixed-integer linear programming problem whose solution yields an optimal movement plan that minimizes the total time for gathering all samples. For reducing the computational complexity of the optimal solution, we develop two sub-optimal relaxations and then we quantitatively compare all the approaches based on extensive numerical simulations. The numerical evaluation yields a decision diagram that can help a user to choose the appropriate method for a given problem instance.

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