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Constraint programming is used for a variety of real-world optimization problems, such as planning, scheduling, and resource allocation problems, all while we continuously gather vast amounts of data about these problems. Current constraint programming software doesn’t exploit such data to update schedules, resources, and plans. The authors propose a new framework that they call the inductive constraint...
This paper describes an enhanced model for the Short Term Hydro Scheduling Problem, HSP, that includes the impact of operation decisions on the market prices and the possibility of adjusting the tailwater level and the generation and pumping efficiencies as a function of the flow. The solution approach uses an iterative procedure that solves in each iteration a linearized HSP problem using the linprog...
In the last decades power systems witnessed the implementation of an organizational and operational restructuring that lead to the introduction of competitive mechanisms in some activities of the value chain. This is the case of generation and retailing with the development of wholesale and retail markets. These developments together with a renewed emphasis on the adoption of more sustainable solutions...
In urban goods delivery, the service quality is affected by number of lorry, distance between two points, road blocking and assigned time of customers, etc. The lower efficiency of human power and delivery time are caused from poor route planning. A hybrid approach of route finding, which is involved in multi-objectives and lorry assignment, is developed for achieving the optimal delivery schedule...
The challenge in last-mile supply chains deliveries is to maintain and improve the operational cost-effectiveness by the implementation of efficient procedures while facing increased levels of congestion in cities. One competitive alternative is Horizontal Cooperation (HC). City distribution problems under HC conditions can be modeled as multi-depot vehicle routing problems, which are NP-hard problems...
This paper develops a new approach to sustainable planning of WEEE recycling innovation strategies for meeting the best sustainable innovation interests of a WEEE management company. A fuzzy multi-attribute decision making algorithm is used to evaluate the to-be implemented innovation strategies in terms of their readiness levels on identified sustainability-related key risk factors (SRFs) under the...
Although design is a problem that has been addressed in the literature, maintaining, upgrading and expanding energy distribution networks along the entire life-cycle is a topic that has received scarce attention. The problem includes considering the long-term dependence of the efficiency of the investments along their life span. This work presents a novel model for the optimization of energy distribution...
In this paper, a simulation based optimization method is introduced. A combined simulation and Non Dominated Sorting Genetic Algorithm-II (NSGA-II) optimization engine is developed to solve a maintenance process problem for an industrial case. The coupling is used in order to optimize the performances of the simulation model representing a maintenance process by choosing the best queues' scheduling...
Collaborative supply chains have become an important element for recent years for many companies to improve their supply chain efficiency. This paper reviews the literature on operation research tools and methods for collaboration in supply chain. First, optimization methods for the collaborative supply chain are presented for both vertical and horizontal collaboration. In horizontal collaboration,...
The container transport in the hinterland of seaport container terminals has to become more efficient. A better physical infrastructure is only one step to reach this goal. Another indispensible step is the expansion of Information and Communication Technology (ICT). After the introduction in the first chapter the actual situation of research and development in container terminal management and ICT...
To minimize the logistics cost in upstream and downstream enterprises in supply chain, Bi-level Programming Method is innovatively used in this article to establish the optimization model of the supply chain network distribution. Solving methods for this model are discussed and then an efficient arithmetic combined with layered iterative method is proposed. The model is calculated by Lindo software...
This paper develops a mathematical tool for modelling market power cost in transmission expansion planning decisions. The mathematical modelling is based on the game theory in applied mathematics and the concept of social welfare in microeconomics. We assume the generating companies as Cournot players and the Transmission System Operators as a regulated social transmission planner. To tackle the multiple...
According to domestic and abroad research, an effective and sustaining business process is widely considered as a key factor for a company's success and development. With the business expanded and the personnel increased, the process management becomes more and more important in China's real estate enterprises. After analyzing the issues, the status and the problems in procedure management, this paper...
We look at the automation of a manual production scheduling process at a pharmaceutical company, by using mixed integer optimization and a simple greedy algorithm. The pharmaceutical company is a make to order producer with highly utilized resources and flexible production processes. We present the algorithms and analyze their performance using real data and compare the results with the manual approach...
The overall cost of getting a chip ship in volume is a concern for many companies in today's market. Industry leading companies are starting to implement co-design flows in hopes of reducing overall design cycles and cost. This paper proposes a novel approach to developing a co-design flow that is based on a new intelligent die abstract model (VDM) and a board driven methodology. This methodology...
Promotional activities have been commonly used by the retailers to increase profits, but the deficiencies of promotional system have brought about the losses in many aspects, which increasingly becomes the focus of the market's attention. With the introduction to the concept of management honeypot, this paper records management issues and submits them to the administrative levels, and meanwhile figures...
Suggestion is one of the requirements for progress, and projects are wings to improve. Sometimes a suggestion may sustain or even survive a project. Actually in the project-based activities, managing suggestions and using their benefits are more important than routine activities. This different significance arises from risky and time-limited nature of a project. In this issue, it seems an organized...
Both areas, airline planning and railway planning, have attracted a significant interest from the operations research and optimization community during the past decades. Although both areas have significant similarities, i.e. transport of people and goods according to specified schedules, the dissimilarities seem to prevail due to the mostly separate developments of these fields. In this paper we...
The paper presents an approach towards a new concept for maintenance supply chain (MSC) optimisation exemplified on spare parts management and its logistic chain. Maintenance organisations operate in complex supply chains confronted with strong interdependencies (e.g. integration of service and logistics providers). Concurrently they need to perform efficiently to guarantee the required availability...
This paper applies Robust Optimization method to optimize the airline network planning process. The Dijkstra's Algorithm is firstly introduced to improve the initial solution and neighborhood structure. And the Robust Optimization method is applied to the problem of selecting the hub aerodromes in the airline network to help the decision making process. Furthermore, a hub-and-spoke network among 15...
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