Modeling and Case Study of the Production Line Layout System

2013 ◽  
Vol 416-417 ◽  
pp. 1373-1380
Author(s):  
Yong Zhao ◽  
Xiao Yong Pan ◽  
Chun Chuan Li
Keyword(s):  
Integer Programming ◽  
Resource Utilization ◽  
Production Line ◽  
Programming Model ◽  
Theory Analysis ◽  
Layout Problem ◽  
Multi Stage ◽  
The Cost ◽  
Line Design

A study on production line layout problem indicates there is a lack of research on the production line design issue. Traditional methodology on this problem mainly depends on the designers experience and calls for theory analysis and quantitative study. To control the cost and optimize the resource utilization of enterprises, this paper develops a multi-stage integer programming model to describe the production line layout problem, and proposes a heuristic algorithm to solve the problem. A practical example illustrates the effectiveness of the model.

Optimal Production LineLayout Model Based on Integer Programming

2013 ◽  
Vol 690-693 ◽  
pp. 2896-2900
Author(s):  
Yong Zhao ◽  
Xiao Yong Pan ◽  
Chun Chuan Li ◽  
Guo Hong Yao ◽  
Jiang Wu ◽  
...  
Keyword(s):  
Integer Programming ◽  
Production Line ◽  
Ant Colony Algorithm ◽  
Programming Model ◽  
Theory Analysis ◽  
Layout Problem ◽  
Optimal Production ◽  
Multi Stage ◽  
The Cost ◽  
Line Design

To control the cost and optimize the resource utilization of enterprises, production layout problem draws recently more and more attention by industries; however, a study on this problem indicates there is a lack of research on production line design, which is a major issue in the layout problem. Traditional methodology mainly depends on the designer’s experience and calls for theory analysis and quantitative study. This paper concerns the development of a multi-stage integer programming model to describe the production line layout problem, and employs a heuristic and ant-colony algorithm to solve the problem. A practical example illustrates the effectiveness of the model.

Evaluating Design Alternatives of an Extruded Food Production Line Using Simulation

SIMULATION ◽  
2002 ◽  
Vol 78 (10) ◽  
pp. 626-632 ◽  
Author(s):  
Stephen F. Owens ◽  
Reuven R. Levary
Keyword(s):  
Production Line ◽  
Food Production ◽  
System Throughput ◽  
Unit Operations ◽  
Manufacturing Line ◽  
Design Alternatives ◽  
Current Design ◽  
Current Production ◽  
The Cost ◽  
Line Design

Several designs of a manufacturing line for the production of extruded foods were developed and compared with the current production line design. The manufacturing line consisted of six unit operations: batching, grinding, extruding, drying, further processing, and packing. The authors performed the comparisons by simulating the current design and the proposed alternatives. The alternatives consisted of modifications to the extruder-dryer and/or packing line designs. The simulation results indicated that all the alternate designs roughly doubled system throughput compared to current designs but did not differ significantly in performance among themselves. The doubled output is worth about $2.5 million per year. This is easily enough to justify the cost of new equipment. One design would cost less to implement than the others and thus was the preferred option.

scholarly journals A bi-objective integer programming model for locating garbage accumulation points: a case study

2019 ◽  
pp. 70-81
Author(s):  
Diego Gabriel Rossit ◽  
Sergio Nesmachnow ◽  
Jamal Toutouh
Keyword(s):  
Integer Programming ◽  
Local Governments ◽  
Programming Model ◽  
Mathematical Formulation ◽  
Msw Management ◽  
Accumulation Points ◽  
Starting Point ◽  
Support Tools ◽  
The City

Enhancing efficiency in Municipal Solid Waste (MSW) management is crucial for local governments, which are generally in charge of collection, since this activity explains a large proportion of their budgetary expenses. The incorporation of decision support tools can contribute to improve the MSW system, specially by reducing the required investment of funds. This article proposes a mathematical formulation, based on integer programming, to determine the location of garbage accumulation points while minimizing the expenses of the system, i.e., the installment cost of bins and the required number of visits the collection vehicle which is related with the routing cost of the collection. The model was tested in some scenarios of an important Argentinian city that stills has a door-to-door system, including instances with unsorted waste, which is the current situation of the city, and also instances with source classified waste. Although the scenarios with classified waste evidenced to be more challenging for the proposed resolution approach, a set of solutions was provided in all scenarios. These solutions can be used as a starting point for migrating from the current door-to-door system to a community bins system.

A framework of hiring strategy for manpower hiring in a hyper-local food delivery organization

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Debadyuti Das ◽  
Chirag Yadav
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Local Food ◽  
Service Level ◽  
Food Delivery ◽  
Optimum Number ◽  
Content Type ◽  
Integer Programming Model ◽  
Cost Efficient ◽  
The Cost

PurposeThe present work attempts to determine an appropriate number of different categories of Delivery Persons for a Hyper-local Food Delivery Organization for different intervals within a day and across days within a week which would provide a satisfactory level of service to the target customers and at the same time would become cost-efficient.Design/methodology/approachCurrently the firm estimates the required number of Delivery Persons for “lunch peak” and “dinner peak” of the next week's weekdays and weekend based on the maximum number of orders occurring during the same period of both weekdays and weekend in the current week. The proposed approach involves determining the projected demand in every four-hourly interval of both week-days and weekend in the next week. Subsequently, the study has developed a simple integer programming model for determining the optimum number of Delivery Persons based on the projected demand data.FindingsThe existing approach followed by the firm indicates that the Delivery Persons remain unutilized during periods of low demand. The proposed model demonstrated savings to the tune of 21.4% in manpower cost without any erosion in the service level.Originality/valueThe study has made three tangible contributions. First, the development of a simple methodology for estimating the demand of next period allows the Managers to utilize dynamic demand data. Second, the development of a simple integer programming model helps managers determine an appropriate number of Delivery Persons in different intervals in both weekdays and weekend. Third, the development of a framework of hiring strategy aids managers in adopting a particular hiring strategy under a particular context keeping in mind the magnitude of demand for food, demand for delivery service and the cost of providing the service.

scholarly journals A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Li Luo ◽  
Jialing Li ◽  
Xueru Xu ◽  
Wenwu Shen ◽  
Lin Xiao
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Programming Model ◽  
Tertiary Hospital ◽  
Data Driven ◽  
Mixed Integer ◽  
Hospital Bed ◽  
Tertiary Hospitals ◽  
Bed Allocation

Beds are key, scarce medical resources in hospitals. The bed occupancy rate (BOR) amongst different departments within large tertiary hospitals is very imbalanced, a situation which has led to problems between the supply of and the demand for bed resources. This study aims to balance the utilization of existing beds in a large tertiary hospital in China. We developed a data-driven hybrid three-stage framework incorporating data analysis, simulation, and mixed integer programming to minimize the gaps in BOR among different departments. The first stage is to calculate the length of stay (LOS) and BOR of each department and identify the departments that need to be allocated beds. In the second stage, we used a fitted arrival distribution and median LOS as the input to a generic simulation model. In the third stage, we built a mixed integer programming model using the results obtained in the first two stages to generate the optimal bed allocation strategy for different departments. The value of the objective function, Z, represents the severity of the imbalance in BOR. Our case study demonstrated the effectiveness of the proposed data-driven hybrid three-stage framework. The results show that Z decreases from 0.7344 to 0.0409 after re-allocation, which means that the internal imbalance has eased. Our framework provides hospital bed policy makers with a feasible solution for bed allocation.

scholarly journals The unit train make-up scheme for loaded direction in the heavy haul railway

2019 ◽  
Vol 1 (1) ◽  
pp. 30-44 ◽  
Author(s):  
Yuqiang Wang ◽  
Yuguang Wei ◽  
Hua Shi ◽  
Xinyu Liu ◽  
Liyuan Feng ◽  
...  
Keyword(s):  
Integer Programming ◽  
Design Methodology ◽  
Arrival Time ◽  
Programming Model ◽  
Nonlinear Integer Programming ◽  
Content Type ◽  
Proposed Model ◽  
Heavy Haul ◽  
Heavy Haul Railway

Purpose The purpose of this paper is to study the unit train make-up scheme for loaded direction in the heavy haul railway. Design/methodology/approach A 0-1 nonlinear integer programming model with the aim of minimizing the idling period between actual train arrival time and expected train arrival time for all loaded unit trains are proposed. Findings The proposed model is applied into a case study based on Daqin heavy haul railway. Results show that the proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway. Originality/value The proposed model can offer operators an optimal unit train make-up scheme for loaded direction in heavy haul railway.

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