Including containers with dangerous goods in the Slot Planning Problem

Container stowage problems are rich optimization problems with both high economic and environmental impact. These problems are typically decomposed into a master bay planning phase, which distributes containers to bay sections of the vessel, and a slot planning phase, which assigns a specific slot within the bay section to each container. In this paper, we extend existing models for slot planning by considering containers with dangerous goods. An important contribution of this paper is that we provide a model closer to the real-world problems faced by planners, and thus solutions based on this model should be easier to implement in practice. We show that our model can be solved to optimality in reasonable time using standard software like Gurobi or CPLEX. Keywords: operations research, container stowage, optimization, logisticspublishedVersio

Including Containers with Dangerous Goods in the Multi-Port Master Bay Planning Problem

In this paper we extend existing models for Master Bay Planning by handling containers holding dangerous goods, so-called IMO containers. Incompatible IMO containers must be separated from each other on board a vessel according to specic rules. These rules affect both Master Bay Planning and Slot Planning, which are the two planning problems normally handled in container stowage planning. Some research is done to include IMO containers in Slot Planning, but, to the best of our knowledge, this is the rst time handling of IMO containers is included in Master Bay Planning. We present results from computational tests showing that our model can be solved to optimality, or near optimality, in reasonable time for realistically sized instances

Determine planning method in the storage area

ABSTRACT Ji Yuan Hai Wan Shi Ye AB started in the December of 2011, is co-funded by the Xiamen Hai Wan AB and Luo Yang Shi Hua. It has integrated business such as scientific research, production and trade together. The company locates in the industrial manufactory area at Ji Yuan, Henan Province. The main products are verity of unsaturated polyester resin. Their products are widely used in the fields like industry, agricultural, transportation and construction. This shows its wide coverage status quo and broad future (Company´s website). Inventory is the network-node among goods flow, information flow and cash flow, and is of great importance to economic development nowadays. The rational management in transportation, packaging, loading/unloading, processing, delivery, can efficiently alleviate working strength, damage ratio, Inventory turnover and distribution costs. The storage area is not only the most important but also the most difficult part to plan. According to the statistics, unloading, picking, sorting and loading take 40% time of the whole process, and the rest are consumed by staff’s patrolling. As a result, a cost effective design in storage area can effectively lower down internal transportation cost, and highly improve the performance of the whole inventory. In order to increase the efficiency inside storage area, and create a best possible environment for material handlers in the inventory; this article intended to generate a directive description by studying the design inside storage area of the inventory. Based on the case study, author has raised a recommendation to the inventory´s equipment and slot planning. MATLAB is the main programming tool in the slot planning and it contains aspects below: 1, A brief introduction to company and their main activities. 2, Storage area planning and design theories: The definition, types, functions of storage area were introduced in the beginning. Then storage area and several ways of storage were briefly described. At last, author described the classical EIQ analysis and its applications in the logistics system. Page IV 3, Selection of equipment in storage area Author elaborated basic principles of the equipment choice; and introduced types, choice methods in storing and material handling equipment. Finally the EIQ analysis was applied and its influence in equipment choice was proved. 4, Planning and design of slots in the storage area This part mainly included following contents A. Coding The article began with methodology introduction for the coding of both location and goods, and the principles of choice methodology for different goods. B. Spacing plan and corresponding information Principles and concepts of location planning as well as corresponding benefits were introduced, which are the reasons of location planning. C. Modeling The author has presented the aim of the location planning; and according to that, a model has been introduced. There are two things has to be concerned, one is the total transporting distance for the goods and the other one is the stability of the racking. The aim of the location planning is to increase picking efficiency by storing the fastest-moving goods in the most convenient positions which is gate in this case. To increase racking ´s stability, lighter goods have to put in higher than heavier things. D. The algorithm Location planning is a multi-objective optimization problem. Author has analyzed and compared several algorithms; finally genetic algorithm was chosen to solve the problem. Author introduced the principles of the methodology about using genetic algorithm to solve a multi-objective optimization problem. After that, according to the model introduced in the previously step, author has decided to use parallel selection method, multi-Gender evolutionary method and constraint method. To get an optimal solution of location planning, MATLAB has been used as the tool. Page V 5, Applied and analyzed the methods and programs, mentioned in the article, to the design of inventory´s storage area. 6, Summary and prospect Author has summarized the article’s result and raised future research topics. This article has given some new points in the following aspect： 1．By thinking of velocity of goods circulation and goods weigh, a multi-objective optimization model for location planning has been made. Model has been solved, via using Genetic Algorithm’s paratactic selection, multi-gender evolution and constraint methods. 2．By using MATLAB, author programmed the location plan which generates solutions to optimization problems using techniques inspired by natural evolution. Programming has been used crossover, mutation methods and the algorithm terminated when the 500 generations has been produced, then a satisfactory fitness solution has been reached for the location

Planning and Scheduling in Construction through Model Approach

The ambiguity, delays, and complexity of projects in construction industry in the present scenario makes it needed for proper planning a particularly when the difficulty arises in the task for project managers due to the need to visualize the forthcoming activities at the construction site. Ability to manage the risk factors being foreseen is an important criterion for the success of the project. Conventional computer-assisted technology through software can help but is often limited to the practical issues involved. Virtual model of the project gives an improved method through the visualisation of construction activities by computer simulation. This paper explains the methods of virtual model analysis to optimize construction planning schedules by analysing resource allocation and planning. Construction & resource models, construction planning schedules and site-layout plans are taken help to optimize the project objectives. DOI: 10.17762/ijritcc2321-8169.150511

A shipping line stowage-planning procedure in the presence of hazardous containers

This work addresses the stowage-planning problem for containerships, known as the Master Bay Plan problem (MBPP), in the presence of hazardous containers. A novel procedure, based on the principles included in the International Maritime Dangerous Goods (IMDG) Code for stowing containers in liner services is presented. Further, shipping alliances are considered. Our aim is to assist the shipping line coordinator (SLC) to optimize the available space assigned to each alliance member. This is possible thanks to the proposed procedure that finds stowage solutions for ships with different structures, capacity and available sections for hazardous containers, and for companies having different stowage strategies. Our procedure can be implemented in a tool, able to verify the stowage constraints and the segregation rules in case of hazardous cargo. Two simple real-life multi-port stowage plans involving hazardous containers are presented and analysed to illustrate the proposed procedure