scholarly journals Dynamic construction of virtual manufacturing cell considering workload balancing and machine failure

2021 ◽  
Vol 268 ◽  
pp. 01060
Author(s):  
Zhe Lv ◽  
Junjie Fan ◽  
Lipeng Wang
Keyword(s):  
Programming Model ◽  
Transportation Cost ◽  
Virtual Manufacturing ◽  
Random Disturbance ◽  
Manufacturing Cell ◽  
Equipment Reliability ◽  
Machine Failure ◽  
Hybrid Particle Swarm Optimization ◽  
Process Route ◽  
The Cost

Machine is the key element in manufacturing system. Machine failure will lead to order delivery delay and production cost rise. Aiming at the random disturbance of equipment failure, a dynamic non-linear programming model of virtual manufacturing cell (VMC) is established, which aims to minimize the equipment cost, logistics transportation cost, delay delivery cost and the differences of workload among cells, based on the comprehensive consideration of equipment reliability, process route constraints, variable processing path and workload. Due to the high complexity of the problem, the hybrid particle swarm optimization algorithm is used to solve the model, and the rationality and effectiveness of the method are verified by a numerical example. Experimental results show that this method has advantages in reducing the cost of cell reconfiguration, improving the utilization of equipment and shortening the completion time.

Discussion on the Application of Activity-Based Costing in Virtual Manufacturing Cell Mode

2014 ◽  
Vol 551 ◽  
pp. 290-295 ◽  
Author(s):  
Jie Lv ◽  
Ling Ling Xiong ◽  
Wen Min Han
Keyword(s):  
Production Efficiency ◽  
Cost Accounting ◽  
Virtual Manufacturing ◽  
Activity Based Costing ◽  
New Production ◽  
Manufacturing Cell ◽  
Current Production ◽  
Production Organization ◽  
The Cost ◽  
Manufacturing Mode

As a new development of cell manufacturing mode, virtual manufacturing cell (VMC) has complied with the new production organization requirements of current production efficiency and production flexibility improving synchronously, and it presents new characteristics in terms of cost accounting and cost control. Traditional cost methods present some shortcomings in VMC mode. For these situations, this paper discusses the advantages of activity-based costing (ABC) in VMC mode and improves traditional ABC to better meet the cost accounting requirements of VMC. Finally, an example is used to illustrate the basic use of the improved ABC in VMC mode.

OPTIMAL FEASIBLE SOLUTIONS TO A ROAD FREIGHT TRANSPORTATION PROBLEM

2020 ◽  
Vol 5 (1) ◽  
pp. 456
Author(s):  
Tolulope Latunde ◽  
Joseph Oluwaseun Richard ◽  
Opeyemi Odunayo Esan ◽  
Damilola Deborah Dare
Keyword(s):  
Transportation Problem ◽  
Optimal Solution ◽  
Transportation Cost ◽  
North West ◽  
Life Problems ◽  
Basic Feasible Solutions ◽  
Feasible Solutions ◽  
Road Freight Transportation ◽  
The Cost ◽  
Cost Of Transportation

For twenty decades, there is a visible ever forward advancement in the technology of mobility, vehicles and transportation system in general. However, there is no "cure-all" remedy ideal enough to solve all life problems but mathematics has proven that if the problem can be determined, it is most likely solvable. New methods and applications will keep coming to making sure that life problems will be solved faster and easier. This study is to adopt a mathematical transportation problem in the Coca-Cola company aiming to help the logistics department manager of the Asejire and Ikeja plant to decide on how to distribute demand by the customers and at the same time, minimize the cost of transportation. Here, different algorithms are used and compared to generate an optimal solution, namely; North West Corner Method (NWC), Least Cost Method (LCM) and Vogel’s Approximation Method (VAM). The transportation model type in this work is the Linear Programming as the problems are represented in tables and results are compared with the result obtained on Maple 18 software. The study shows various ways in which the initial basic feasible solutions to the problem can be obtained where the best method that saves the highest percentage of transportation cost with for this problem is the NWC. The NWC produces the optimal transportation cost which is 517,040 units.

The estimated healthcare cost of diabetic retinopathy in Indonesia and its projection for 2025

2019 ◽  
Vol 104 (4) ◽  
pp. 487-492 ◽  
Author(s):  
Muhammad Bayu Sasongko ◽  
Firman Setya Wardhana ◽  
Gandhi Anandika Febryanto ◽  
Angela Nurini Agni ◽  
Supanji Supanji ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Laser Treatment ◽  
Healthcare Cost ◽  
Cost Of Illness ◽  
Public Health Intervention ◽  
Transportation Cost ◽  
Population Based ◽  
State Budget ◽  
Illness Model ◽  
The Cost

PurposeTo estimate the total healthcare cost associated with diabetic retinopathy (DR) in type 2 diabetes in Indonesia and its projection for 2025.MethodsA prevalence-based cost-of-illness model was constructed from previous population-based DR study. Projection for 2025 was derived from estimated diabetes population in 2025. Direct treatment costs of DR were estimated from the perspective of healthcare. Patient perspective costs were obtained from thorough interview including only transportation cost and lost of working days related to treatment. We developed four cost-of-illness models according to DR severity level, DR without necessary treatment, needing laser treatment, laser +intravitreal (IVT) injection and laser + IVT +vitrectomy. All costs were estimated in 2017 US$.ResultsThe healthcare costs of DR in Indonesia were estimated to be $2.4 billion in 2017 and $8.9 billion in 2025. The total cost in 2017 consisted of the cost for no DR and mild–moderate non-proliferative DR (NPDR) requiring eye screening ($25.9 million), severe NPDR or proliferative DR (PDR) requiring laser treatment ($0.25 billion), severe NPDR or PDR requiring both laser and IVT injection ($1.75 billion) and advance level of PDR requiring vitrectomy ($0.44 billion).ConclusionsThe estimated healthcare cost of DR in Indonesia in 2017 was considerably high, nearly 2% of the 2017 national state budget, and projected to increase significantly to more than threefold in 2025. The highest cost may incur for DR requiring both laser and IVT injection. Therefore, public health intervention to delay or prevent severe DR may substantially reduce the healthcare cost of DR in Indonesia.

Insights to optimise marketing decisions on pig-grower farms

2019 ◽  
Vol 59 (6) ◽  
pp. 1126 ◽  
Author(s):  
S. V. Rodríguez-Sanchez ◽  
L. M. Pla-Aragones ◽  
R. De Castro
Keyword(s):  
Weight Control ◽  
Time Window ◽  
Programming Model ◽  
Transportation Cost ◽  
Management Policy ◽  
Mixed Integer ◽  
Factors Affecting ◽  
Pig Production ◽  
Marketing Policy ◽  
Feeding Program

Modern pig production in a vertically integrated company is a highly specialised and industrialised activity, requiring increasingly complex and critical decision-making. The present paper focuses on the decisions made on the pig-grower farms operating on an all-in–all-out management policy at the last stage of pig production. Based on a mixed-integer linear-programming model, an assessment for specific parameters to support marketing decisions on farms without individual weight control is made. The analysis of several key factors affecting the optimal marketing policy, such as transportation cost, when and how many pigs to deliver to the abattoir and weight homogeneity of the batch, served to gain insight into marketing decisions. The results confirmed that not just the feeding program, but also the grading price system, transportation and batch homogeneity have an enormous impact on the optimal marketing policy of fattening farms in a vertically integrated company. In addition, within the range of conditions considered, a time window of 4 weeks was deemed as optimal for delivering animals to the abattoir and the subsequent revenue was 15% higher than with traditional marketing rules.

scholarly journals A Synchronous Optimization Model for Multiship Shuttle Tanker Fleet Design and Scheduling Considering Hard Time Window Constraint

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Zhenfeng Jiang ◽  
Dongxu Chen ◽  
Zhongzhen Yang
Keyword(s):  
Time Window ◽  
Programming Model ◽  
Transportation Cost ◽  
Exact Algorithm ◽  
Mixed Integer ◽  
Routing Problem ◽  
Hard Time ◽  
Proposed Model ◽  
Total Transportation Cost ◽  
Time Window Constraints

A Synchronous Optimization for Multiship Shuttle Tanker Fleet Design and Scheduling is solved in the context of development of floating production storage and offloading device (FPSO). In this paper, the shuttle tanker fleet scheduling problem is considered as a vehicle routing problem with hard time window constraints. A mixed integer programming model aiming at minimizing total transportation cost is proposed to model this problem. To solve this model, we propose an exact algorithm based on the column generation and perform numerical experiments. The experiment results show that the proposed model and algorithm can effectively solve the problem.

scholarly journals Minimising negative externalities cost using 0-1 mixed integer linear programming model in e-commerce environment

2017 ◽  
Vol 11 ◽  
Author(s):  
Akyene Tetteh ◽  
Sarah Dsane-Nsor
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Petroleum Products ◽  
Mixed Integer ◽  
The Internet ◽  
Negative Externalities ◽  
The Government ◽  
The Cost

Background: Although the Internet boosts business profitability, without certain activities like efficient transportation, scheduling, products ordered via the Internet may reach their destination very late. The environmental problems (vehicle part disposal, carbon monoxide [CO], nitrogen oxide [NOx] and hydrocarbons [HC]) associated with transportation are mostly not accounted for by industries.Objectives: The main objective of this article is to minimising negative externalities cost in e-commerce environments.Method: The 0-1 mixed integer linear programming (0-1 MILP) model was used to model the problem statement. The result was further analysed using the externality percentage impact factor (EPIF).Results: The simulation results suggest that (1) The mode of ordering refined petroleum products does not impact on the cost of distribution, (2) an increase in private cost is directly proportional to the externality cost, (3) externality cost is largely controlled by the government and number of vehicles used in the distribution and this is in no way influenced by the mode of request (i.e. Internet or otherwise) and (4) externality cost may be reduce by using more ecofriendly fuel system.

scholarly journals Logistic platform placement for harmonious development of the nation’s intermodal network

2018 ◽  
Vol 12 (23) ◽  
pp. 81
Author(s):  
Rafael Arevalo Ascanio ◽  
Rafael Santofimio Rivera ◽  
Jair Eduardo Rocha González ◽  
Wilson Adarme Jaimes
Keyword(s):  
Programming Model ◽  
Optimal Location ◽  
Caribbean Region ◽  
Intermodal Transport ◽  
Cargo Transport ◽  
Mixed Programming ◽  
Aggregation And Disaggregation ◽  
The Caribbean ◽  
Magdalena River ◽  
The Cost

This article considers the problem of locating multiple installations for the intermodal transport network in Colombia, and is based on the analysis of the transport of cargo from the main generating cities to the three most important port cities in the Caribbean region of the country: Barranquilla, Cartagena and Santa Marta; integrating the modes of transport by land, road and river. According to this, land transport by road is used from the source of cargo to the possible locations of the logistic platforms, and then the Magdalena River basin is used as a unique river corridor. The model proposed consists of determining the optimal location of a series of logistic platforms that guarantee a system of integration and cooperation in transport strategies for the country, in which aggregation and disaggregation of freight operations will be possible. In this aspect, an entire mixed programming model is performed with the objective of minimizing the total costs of transport and operation of the new intermodal network, with restrictions associated with the generation and processing of cargo, obtaining results in the cost functions related to cargo transport and leaving as evidence the potential of integrating intermodal transport for the country's competitiveness. 

scholarly journals DAMPAK PERUBAHAN HARGA BAHAN BAKAR MINYAK (BBM) TERHADAP NILAI TUKAR PETANI (NTP) DI PROVINSI SULAWESI UTARA

2017 ◽  
Vol 13 (2A) ◽  
pp. 91
Author(s):  
Muhammad R. Ipango ◽  
Eyverson ., Ruauw ◽  
Nootje M. Benu
Keyword(s):  
Exchange Rate ◽  
Agricultural Production ◽  
Secondary Data ◽  
Transportation Cost ◽  
Fuel Oil ◽  
Fuel Price ◽  
Descriptive Research ◽  
North Sulawesi ◽  
The Cost ◽  
The Impact

This study aims to determine the impact of changes in increasing fuel price on Farmers Exchange Rate (NTP) in North Sulawesi Province. This study uses secondary data, mainly from the Central Bureau of Statistics (BPS) of North Sulawesi. Data collection was conducted for four months, from December 2016 until April 2017. The data used in this research is data from 2013 until 2016. The research method used in this research is descriptive research. The results showed that with the increase of Fuel Oil price is one of the factors that influence the Farmer's Farmer's Exchange Rate (NTP) as a whole by increasing the cost of household consumption, agricultural production cost, transportation cost, and transportation cost

scholarly journals OPTIMALISASI PENDISTRIBUSIAN BARANG DI PT.SINAR NIAGA SEJAHTERA PALU MENGGUNAKAN METODE GOAL PROGRAMMING

2018 ◽  
Vol 15 (1) ◽  
pp. 77-85 ◽  
Author(s):  
B Hidaen ◽  
A I Jaya ◽  
Resnawati Resnawati
Keyword(s):  
Goal Programming ◽  
Programming Model ◽  
Volume Distribution ◽  
Research Results ◽  
Distribution Costs ◽  
Goal Programming Model ◽  
The Cost ◽  
Distribution Cost

PT.Sinar Niaga Sejahtera isone ofdistributorin Palu who distribute products to a variety of shops. Goal Programming is a method that can solve the problem with more than one purposes. The purposes of this study are  to maximize the number of the car and minimize the distribution  cost of  PT.Sinar Niaga Sejahtera. Goal Programming model formulationin this research consistsof 6 priorities and 6 function constraints. The sixth priorities are,warehous capacity, the number of cars used to the distribution of goods to store Sinar Kasih II,store Cahaya Indah, store Bintang  Rezeki, store Hi. Abdullah, and a minimum distribution costs. Constraint functions consist of a number of cars and the cost of distribution. The research results showed that the supply of goods by the warehouse capacity that can fulfiil the necessary distribution of goods during the month amounted to 136.93 or 8.628 box Optimal volume distribution of goods in each store are sequentially Sinar Kasih II which is 2 units with a capacity of 4  or 252 box, Cahaya Indah 3 units with a capacity of 7  or 441 box, Hi. Abdullah 2 units with a capacity of 12 or 756 box and Star 2 cars Rezeki capacity of 4 . This model can save the distribution costs of Rp. 7.127.147 from the previous distribution costs of Rp. 35.000.000.

scholarly journals Determination of cost coefficients of priority-based water allocation linear programming model – a network flow approach

2013 ◽  
Vol 10 (12) ◽  
pp. 15033-15070
Author(s):  
F. N.-F. Chou ◽  
C.-W. Wu
Keyword(s):  
Network Flow ◽  
Water Allocation ◽  
Programming Model ◽  
Original System ◽  
Linear Constraints ◽  
Operating Rules ◽  
River Reservoir ◽  
Link Cost ◽  
Basin Water ◽  
The Cost

Abstract. This paper presents a method to establish the objective function of a network flow programming model for simulating river/reservoir system operations and associated water allocation, with an emphasis on situations when the links other than demand or storage have to be assigned with nonzero cost coefficients. The method preserves the priorities defined by rule curves of reservoir, operational preferences for conveying water, allocation of storage among multiple reservoirs, and trans-basin water diversions. Path enumeration analysis transforms these water allocation rules into linear constraints that can be solved to determine link cost coefficients. An approach to prune the original system into a reduced network is proposed to establish the precise constraints of nonzero cost coefficients which can then be efficiently solved. The cost coefficients for the water allocation in the Feitsui and Shihmen Reservoirs joint operating system of northern Taiwan was adequately assigned by the proposed method. This case study demonstrates how practitioners can correctly utilize network-flow-based models to allocate water supply throughout complex systems that are subject to strict operating rules.

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