Simulation method for multi-machine and multi-task crane scheduling in steelmaking plant

It is of great significance in steel complex to link production flow between work stations and control production rhythm by cranes. Crane scheduling is a multi-machine multi-task problem which limits temporal and spatial constraints and production plan. A simulation model based on evolution rules to solve temporal and spatial constraints is proposed. Its objective is to guarantee execution of production plan in steelmaking plant. And match between cranes and production task on working span is conducted to fulfill temporal constraints between multi-tasks and spatial constraints among multi-cranes. Simulation rules including task allocation, conflicts eliminating and task finishing are also proposed to dominate simulation process. This model avoids difficulties of theoretical calculation for crane scheduling problem. Offline test in a steelmaking plant shows that it is available to make a crane scheduling without conflicts between cranes and plans, which provides a guideline for production scheduling.     

Optimal model and algorithm for flexible job-shop scheduling problem based on demand time window

Aiming at the scheduling problem for jit delivery under the pulling type production, an optimal method for flexible job-shop scheduling problem (FJSP) based on demand time window is proposed. According to the demand time window of every workpiece, an optimal model for FJSP is constructed to maximize the average membership degree based on the completion time for every workpiece.Then, a tabu search algorithm based on multi-stage hybrid mutation is proposed and designed.To improve the convergence of the algorithm, inverse order mutation and gene segment swap mutation are used to find a good original solution, upon which gene swap mutation is used to find the optimal solution. The effectiveness of the proposed method is validated by applying to a multi-type and small-batch production manufacturing workshop.     

Optimal model on integrated production planning andscheduling of steelmaking and continuous casting process

Considering the uncertainty and complexity of production planning and scheduling in steel making and continuous casting, an optimal simulation model is built. Based on the analysis of the logistics in steelmaking process, the casting plan is regarded as the global goal, and the procedural information is taken into account, as well as the local evolution rule that abstracted from scheduling rule. To simulate transferring of materials in the process, the state of operation sites are updated as a result of the global goals, process information and local rule. The goal directed simulation is carried out based on the self organization evolution mechanism. Finally, an optimal integrated production plan is made by a continuous simulation evolution. A simulation case for eight hours production plan shows that the model is valid and efficient.     

Order planning for iron and steel enterprise considering production organization constraints

To realize efficient operation, the production organization constraints of ironmaking/steelmaking interface, desulphorization basic oxygen furnace and decarburization basic oxygen furnace, refining equipment and casting/rolling interface of typical steel production process A are analyzed. Order planning model of iron and steel enterprises considering production organization constraints is established. The scheduling compact and coordination and the optimization of commissioning date of different production lines are fully considered in the model. Then, the model is solved by tabu search. Finally, three different sizes of actual production contracts which are randomly selected from the steel plant A are simulated. The results prove the presented model and algorithm can harmonize and optimize the production effectively and also realize the process running efficiently.     

Dynamic scheduling method of vehicle air-conditioning assembly shop based on feedback control

By analyzing the inherent uncertainties, discrete uncertainties and external environmental uncertainties, a dual-feedback control strategy and the dynamic scheduling method are proposed to solve the dynamic scheduling problem of vehicle air-conditioning assembly shop under uncertainty. Considering the reentrant constraint, equipment capacity constraint, and time discrete constraint etc., the multi-objective scheduling model of vehicle air-conditioning assembly shop is set up,taken the earliness/tardiness, process time, production cost and quality loss as optimization objectives. According to the characteristic of the model, sectional chromosome encoding, crossover operator and mutation operator are designed to prevent the generation of illegal solutions and improve efficiency of the algorithm. An example is given to prove the feasibility and validity of the approach.     

旱地全膜覆土穴播荞麦田土壤水热及产量效应研究

2015 2017 年在西北黄土高原半干旱区设全膜覆土穴播(FMS)和露地穴播(CK) 2 种种植方式,研究西北黄土高原全膜覆土穴播对旱地荞麦农田土壤水分和温度、产量及水分利用效率的影响,为寻求半干旱区荞麦高产高效的技术途径提供理论依据。结果表明, FMS 较 CK 使荞麦苗期提前 2.0~2.7 d,分枝期提前 2~3 d,现蕾期提前 0~1.7 d,而灌浆期延长 4.7~7.0 d。全膜覆土穴播(FMS)提高平水年(2015)和欠水年(2016)荞麦农田的土壤贮水量,较 CK 增加 16.9mm 和 25.59 mm,提高 2.91%和 5.79%,差异显著(P<0.05),但丰水年(2017)处理间差异不显著。在平水年和丰水年,0~25 cm 土壤平均温度 FMS 较 CK 分别增加 2.27℃和 2.20℃,但是在高温干旱年, FMS 分枝期至灌浆期明显低于 CK,全生育期内 0~25 cm 土壤平均温度 FMS 较 CK 降低。成熟期 FMS 干物质量较 CK 增加 13.46%~137.87%,叶面积指数增加 16.22%~52.55%,株高增加 12.78%~48.91%,单株粒重增加 33.39%~60.90%,籽粒饱满率提高 8.48%~9.14%。3 年全膜覆土穴播荞麦生育期 0~300 cm 土壤耗水量增加 3.89%,但差异不显著,产量增加 7.26%~95.25%,水分利用效率提高 7.59%~87.08%,差异显著(P<0.05),而且越干旱年份增产增效愈加明显。全膜覆土穴播能够提高荞麦播前土壤贮水量,降低高温时段的土壤温度,延长灌浆期,显著提高叶面积指数和生物量,促进荞麦植株发育,使得产量和水分利用效率明显升高。     

A Study on the FMS Planning and Scheduling System

After researching the function requirements of the planning and scheduling in manufacturing cells, the paper advanced a control structure with three phases, i. e. planning , scheduling and dispatching. The paper represented in detail the main purposes, requirements and scheduling actions in each phase. It suits to general machining FMSs.     

A Study on the Job-shop Scheduling Problem

This paper discusses a new approach of job shop production scheduling with the time limit of starting and completing work.In this approach,all operations in the queue are sorted according to their values of remaining operating time,and a preliminary feasible solution of production scheduling is achieved,which makes a shortest circulation time of parts in the system.Then adjustment is made aiming at maximum ahead/behind time span of operation block.The process is iterated until a satisfactory scheduling solution is obtained.Through analysis and application proof,the scheduling algorithm is suitable and feasible in engineering projects.     

A Muti-Objective Network Planning Model for Project

Based on the network planning model developed by the author for an overhaul project of a rolling mill production line in a heavy steel plant, an new multiobjective network planning model is proposed in this paper. The formulations of network time parameters are derived. The optimization problem of multiobjective network planning is also discussed. And it has been found out that the fractional single-objctive network is only one of the cases in this model.     

Energy-aware scheduling of reward maximum in real-time systems

A novel algorithm is proposed for energy-aware scheduling of periodic tasks on variable voltage processors in the real-time systems. Based on the combined idea of artificial bee colony algorithm with greedy algorithm, different speed is allocated for different tasks to ensure the execution of tasks with higher value density. Simulation results show that the system reward of energy per unit is increased with the decreasing of energy constraint, therefore the scheduling algorithm is of the energy awareness. Compared with the greedy algorithm, the rewards of the real-time system using the greedy artificial bee colony algorithm are averagely improved by 78% while energy constraint factor is 0.1. Mmore system rewards can be obtained with the increasing number of tasks or energy constraints.     

Simulation optimization for input plan of multi type and batch production with flexible process

Aiming at multi type and batch production system with flexible process, an optimization method for input plan based on Witness simulation is proposed. The scientific problem researched is described. Aiming at the characteristics of multi type and batch production with flexible process, the simulation logic is designed. Taking Witness as simulation platform, the simulation model combining input plan with scheduling for multi type and batch production is constructed. The effectiveness of the method is tested by simulation examination.     

Logistics Scheduling Modle of Region Distribution Center

In order to solve the scheduling problem of frequent distribution of a little goods in one batch between regions in logistics system, We use time slices to manage orders, thus disassembling, combining orders and optimizing the planning to cut the cost. A product-scheduling model in region distribution is presented based on the retailing chain system. A method is presented which spends little cost on logistics plans under constraint conditions (time constraint conditions and space constraint conditions) by using combination and optimizing based on the three layers framework of distribution center, region distribution center and retail shop. The simulation result shows that the model and algorithm is indeed effective to solve the supply problems in multicommodity or multi-shop.     

COMPUTER TOOL MANAGEMENT SYSTEM FOR FMS

A approach to realize FMS tool management by a computer is explained on practical FMS. The character and function of modules in tool management software running on cell lever computers are introduced in details. The concept of operation tool changing set and its algorithm are presented.     

克氏原螯虾温室大棚规模化繁育技术及工艺

本文详尽阐述了克氏原螯虾温室大棚规模化繁育技术,包括繁育设施的建造、工厂化人工诱导繁殖,规模化网箱育苗技术等,为克氏原螯虾育苗生产提供借鉴。     

Integration framework and implementation technologies of integrated workshop production management system for motorcycle parts enterprise

According to the urgent need for motorcycle parts enterprise to improve the ability of information exchange and business collaboration between the production process and other links such as the marketing, design, production planning, outsourcing, purchasing and delivering, an integration framework of the intergraded workshop production management system for motorcycle parts enterprise is presented. It can be integrated with the designing and production planning management systems upwards, the workshop equipments and workers downwards, and the subcontract production and supply chain management systems outwards. Then, some key technologies are studied, such as the realization scheme of system integration based on Service Oriented Architecture (SOA), the data integration and sharing mechanism of heterogeneous information system based on eXtensible Markup Language (XML), and the real-time interaction technology of workshop information based on the multi-functional interactive information terminals, etc. Finally, the system is developed and successfully applied in a motorcycle parts enterprise, and good results are obtained.     

Research in Automation Process Planning About Sheet Metal

Along with the development and appliance of the artificial intelligence, professional have adopted many kinds of methods such as expert system, NN and so on to explore an innovation type CAPP. The paper gives a brief introduction to the principle and design methods of process planning based on the theory of expert system developing a computer aided process planning system of sheet metal and discusses in detail the system uses the network graph to describe the parts and technology decision-making route, and the methods of separated reasoning and various expressions of knowledge are used to solve the complexity of development in CAPP research. Finally satisfied the requirement of the practicability?opening and intelligence about the system.     

Industrial Innovation among Small and Medium-Sized Firms in a Declining Region

This paper explores the impact of new technology adoption upon the market performance of small industrial firms. Survey data from a six-sector sample of Western New York manufacturers are presented. The results suggest a positive relationship between new technology adoption and growth of exports, value-added, and total sales. A central finding of the study is that flexible manufacturing systems (FMS) confer different types of technical and commercial advantages across sectors. Two broad groups of process innovators are identified: (1) those that adopt new technology primarily to cut unit costs; and (2) those that aspire toward greater production flexibility. The paper concludes with a brief discussion of the regional development implications that flow from the empirical results.     

Modeling and realizing of integrated batch planning for steelmaking-continuous casting and hot strip rolling

An integrated batch planning mathematical model based on multi-object optimization is proposed to solve the orderly and efficient flow of material between different working stations in iron and steel enterprises, where production technology constraints, material variations and coupling between steelmaking-continuous casting and hot rolling are analyzed first. According to the requirements of the hot rolling steel strip contracts, the integrated batch planning is divided into sub-plans of rolling plan, casting plan and furnace plan which are independent and coupling to each other, forming rolling plan and furnace plan simultaneously to influence casting plan. Heuristic method based on modified co-evolutionary algorithm is advanced to resolve this problem. The results of simulation and analysis in an iron and steel plant for strip steel production shows that it is feasible to provide effective guidance for integrated batch plan making.     

多旋翼授粉无人机的作业航迹规划

目前果园存在劳动人口老龄化、人工辅助授粉劳动效率低和缺乏数字化精准管理的现状。为了缓解这一现状,本研究首先阐述了多旋翼授粉无人机的前期关键技术准备,包括授粉父本花药的优化组合、花药的商业化存储等。然后,针对单机多旋翼授粉无人机存在的花粉喷洒均匀性差的问题,给出了花粉精准喷洒作业的多旋翼授粉无人机的集群实施策略;在无人机集群编队目标位置分配、回避碰撞和集群队列区域路径规划等核心技术的基础上,设计了多旋翼授粉无人机的自动作业航迹规划技术。最后,在Matlab环境下,实现3单元多旋翼授粉无人机集群授粉的虚拟仿真。多旋翼授粉无人机将为构建智慧农业生态无人农场的精准化种植,提供超前一步的理论探索和可行性应用方案。     

三里洞煤矸石废弃地景观规划

煤矸石的大量堆放破坏环境与景观格局,带来了一系列的生态环境问题。本文探索了矸石废弃地景观规划设计的目标与原则,运用生态恢复、景观设计的理论方法指导矸石废弃地进行生态恢复与景观重建。以矸石堆尺度、废弃地尺度两种立地类型划分结果为依据,在此基础上进行了景观规划设计。从而引发对废弃地区域规划设计的思考,这对改善矿区生态环境面貌,恢复土地的生产能力,促进农业生产,提高城市地位和形象有着重要的意义,也可为其它地区矸石废弃地的景观规划提供借鉴。