scholarly journals Development and Application of Multi Commodity Multi Location Integrated Model for Manufacturing Industry

2022 ◽  
Vol 10 (5) ◽  
pp. 32-40
Author(s):  
Adedeji Kasali Aderinmoye ◽  
◽  
Segbenu Joseph Zosu ◽  
Duduyemi, Oladejo Samuel ◽  
Oyetunji Elkanah Olaosebikan ◽  
...  
Keyword(s):  
Linear Programming ◽  
Manufacturing Industry ◽  
Transportation Cost ◽  
Integrated Model ◽  
Distribution Model ◽  
Production Distribution ◽  
The Difference

This paper presented the development and application of Linear Programming to the modeling of Multi-Commodity Multi-Location production-distribution model for manufacturing industry. The Manufacturing industry has two plants, three depots and twenty retailer’s axis in Lagos. The products are based on how they are packaged; Product 1(P1), Product 2(P2), Product 3(P3) and Product 4(P4). TORA software is used in analyzing the data obtained from the company. Comparing the optimal Multi-Commodity Multi-Location transportation cost of One trillion, Five Hundred And Thirty Billion And Four Hundred And Ninety Million Naira to existing transportation cost of truckload Three Trillion, Five Hundred And Forty Four Billion Naira, the difference is Two Trillion, Thirteen Billion And Five Hundred And Ten Million Naira which is Four Hundred And Two Billion And Seven Hundred And Two Million Naira annually resulting to 56.82 percent gain in profit.

scholarly journals Modeling of Mono-Commodity Multi-Location Linear Programming Techniques for Determining Optimum Transportation Network of a Manufacturing Industry

2021 ◽  
Vol 8 (12) ◽  
pp. 145-158
Author(s):  
ADEDEJI, Kasali Aderinmoye ◽  
ZOSU, Segbenu Joseph ◽  
DUDUYEMI Oladejo Samuel
Keyword(s):  
Linear Programming ◽  
Manufacturing Industry ◽  
Transportation Network ◽  
Transportation Cost ◽  
Optimal Transportation ◽  
Location Model ◽  
Transportation Model ◽  
Programming Techniques ◽  
Two Phases

This research on Modeling and Application of Mono-Commodity Multi-Location Linear Programming Techniques For Determining Optimum Transportation Network was carried out at a Manufacturing Industry in Lagos, which comprises of two plants, three depots and twenty retailers axis. The model was analyzed using Micro Soft Excel Software. The analysis to determine the optimal transportation network was carried out in two phases by considering numbers of truckload transported and each commodity from plants to depots and depots to retailers and their optimals. It was discovered that the existing practices transportation cost for truckloads moving from plant to retailers is N3,544,000,000,000 and when optimized, cost is N1,932,650,000,000 while considering each product the optimized transportation cost is N1,871,065,369,000. This implies that the transportation network generated considering each product will yield 47.2% gain in profit than existing network. Hence, it is recommended that mono-commodity multi-location transportation network be used. Keywords: [EXCEL Software, Mono-Commodity Multi-Location Model, Transportation Cost, Transportation Model, Transportation Network.].

scholarly journals Application of Fuzzy Optimization to Production-Distribution Planning in Supply Chain Management

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
S. Ariafar ◽  
S. Ahmed ◽  
I. A. Choudhury ◽  
M. A. Bakar
Keyword(s):  
Fuzzy Optimization ◽  
Transportation Cost ◽  
Realistic Model ◽  
Solution Procedure ◽  
Distribution Model ◽  
Distribution Centers ◽  
Time Value Of Money ◽  
Solution Approach ◽  
Production Distribution ◽  
Inventory Holding

A production-distribution model has been developed that not only allocates the limited available resources and equipment to produce the products over the time periods, but also determines the economical distributors for dispatching the products to the distribution centers or retailers. The model minimizes production, inventory holding, backordering, and transportation cost while considering the time value of money. Since uncertainty is an inevitable issue of any real-world production system, then to provide a realistic model, the concept of fuzzy sets has been applied in the proposed mathematical modeling. To illustrate and show the feasibility and validity of the model, a real case analysis, which is pertaining to a mineral water bottling production factory, has been used. The case has been solved using a three-step solution approach developed in this study. The results show the feasibility and validity of the mathematical model, and also the solution procedure.

scholarly journals Measuring cost and affordability of current vs. healthy diets in Argentina: an application of linear programming and the INFORMAS protocol

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Gabriel Giacobone ◽  
Maria Victoria Tiscornia ◽  
Leila Guarnieri ◽  
Luciana Castronuovo ◽  
Sally Mackay ◽  
...  
Keyword(s):  
Linear Programming ◽  
Energy Intake ◽  
Current Model ◽  
Food Product ◽  
Poor Households ◽  
Average Household Income ◽  
Healthy Diets ◽  
Diet Cost ◽  
The Difference ◽  
Optimal Approach

Abstract Background Food cost and affordability is one of the main barriers to improve the nutritional quality of diets of the population. However, in Argentina, where over 60% of adults and 40% of children and adolescents are overweight or obese, little is known about the difference in cost and affordability of healthier diets compared to ordinary, less healthy ones. Methods We implemented the “optimal approach” proposed by the International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support (INFORMAS). We modelled the current diet and two types of healthy diets, one equal in energy with the current diet and one 6.3% lower in energy by linear programming. Cost estimations were performed by collecting food product prices and running a Monte Carlo simulation (10,000 iterations) to obtain a range of costs for each model diet. Affordability was measured as the percentage contribution of diet cost vs. average household income in average, poor and extremely poor households and by income deciles. Results On average, households must spend 32% more money on food to ensure equal energy intake from a healthy diet than from a current model diet. When the energy intake target was reduced by 6.3%, the difference in cost was 22%. There are no reasonably likely situations in which any of these healthy diets could cost less or the same than the current unhealthier one. Over 50% of households would be unable to afford the modelled healthy diets, while 40% could not afford the current diet. Conclusions Differential cost and affordability of healthy vs. unhealthy diets are germane to the design of effective public policies to reduce obesity and NCDs in Argentina. It is necessary to implement urgent measures to transform the obesogenic environment, making healthier products more affordable, available and desirable, and discouraging consumption of nutrient-poor, energy-rich foods.

scholarly journals The Role of Internal Control in Firms’ Coping with the Impact of the COVID-19 Pandemic: Evidence from China

2021 ◽  
Vol 13 (11) ◽  
pp. 6294
Author(s):  
Peiqing Zhu ◽  
Jianbo Song
Keyword(s):  
Internal Control ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Negative Impact ◽  
Risk Prevention ◽  
High Tech ◽  
Obvious Effect ◽  
The Difference ◽  
The Impact

Internal control plays a role in risk prevention for firms when dealing with serious emergencies, which ensures the sustainable development of firms during a crisis. Based on the rapid outbreak of COVID-19 in China, this paper empirically tests whether internal control alleviates the negative impact of the pandemic on firm performance. Using a sample of Chinese listed firms from the first quarter of 2019 to the third quarter of 2020 and employing the difference-in-difference (DID) method, we find that the firms with a higher quality of internal control achieve better financial performance during the pandemic period; the more serious the pandemic is, the more obvious effect internal control plays. Furthermore, we consider the industry heterogeneity and firm heterogeneity of the risk resistance effect of internal control. In the manufacturing industry, which is a “disaster zone” of the pandemic, and the non-high-tech industry with a low degree of digitization, internal control can play a more important role in firms’ performance. Moreover, for state-owned enterprises, and firms with strong financing constraints, the role of internal control is more prominent. The above results provide empirical evidence for the risk prevention function of internal control and shed new light on the measures for firms to resist emergencies in the future.

Dynamic Manufacturing Capability Assessment of Industrial Robots Based on Feedback Information in Cloud Manufacturing

2017 ◽  
Author(s):  
Zeyu Zhang ◽  
Wenjun Xu ◽  
Quan Liu ◽  
Zude Zhou ◽  
Duc Truong Pham
Keyword(s):  
Manufacturing Industry ◽  
Dynamic Assessment ◽  
Cloud Manufacturing ◽  
Industrial Robots ◽  
Assessment Model ◽  
Advanced Technology ◽  
Distribution Model ◽  
Information Feedback ◽  
Optimal Solutions ◽  
Manufacturing Capability

With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs’ manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the “normal distribution” model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.

Degradation Screening Test Design for Electronic Products

2010 ◽  
Vol 156-157 ◽  
pp. 747-753
Author(s):  
Rui Lin Lin ◽  
Qiang Hui Zhong
Keyword(s):  
Screening Test ◽  
Performance Characteristics ◽  
Screening Tests ◽  
Distribution Model ◽  
Test Design ◽  
Aging Effects ◽  
Electronic Products ◽  
Model Coefficient ◽  
Degradation Characteristic ◽  
The Difference

Long-life electronic products need to be put in stress environment for long durations in traditional ESS(environmental stress screening) tests in order that items having infant mortality or defects are weeded out from products. However, long stress durations cause aging effects on good items. For some products, failures are defined in terms of performance characteristics degrading some critical values. For the purpose of reducing durations and aging effects, this paper analyzes the difference of performance characteristics between normally degraded products and abnormally degraded products, and assumes the distribution of products’ degradation characteristic variable is contaminated distribution model, then presents a degradation screening test design. This design firstly ascertains the model coefficient using identifiable condition of contaminated distribution combined with the analysis of degradation test, then ascertains screen duration and screen critical value. Lastly, this paper gives an example to illustrate the availability of the design.

scholarly journals Transaksi Bisnis Tembakau dalam Perspektif Hukum Ekonomi Syariah

2020 ◽  
Vol 4 (2) ◽  
pp. 107-115
Author(s):  
Achmad Anas
Keyword(s):  
Economic Growth ◽  
Revenue Sharing ◽  
Economic Activities ◽  
Economic Law ◽  
Production Factors ◽  
Production Distribution ◽  
The Difference

Three basic economic activities are production, distribution, and consumption. Economic growth can be realized quickly, by maximizing one of the three. Economic growth that can create prosperity can be done in two ways: growth in production factors, both labor, and capital. Economic activities are concentrated in businesses in the form of production, partnerships, sales. The results of this study are there are several roles of the Indonesian Tobacco Farmers Association that were found, in the form of mediator, facilitator, advocacy. And there are also findings in the form of increased taxes and the distribution of tobacco excise revenue sharing funds that are not evenly distributed. There are also several findings, they are: the occurrence of economic activities in the form of partnerships carried out by tobacco farmers and entrepreneurs. The difference lies in the end that there is a transaction of buying and selling witnesses between tobacco farmers and entrepreneurs. So when partnering, the agreement must sell farmers' crops to partners, namely tobacco entrepreneurs. Of course, the transaction has met the provisions of Sharia Economic Law, when the conditions have been fulfilled, the transaction will be considered valid.

scholarly journals How does Technological Dependence Affect Consumer Shopping Behavior among Baby Boomers, Millennials, and Digital Natives?

2020 ◽  
Vol 5 (8) ◽  
pp. 1004-1009
Author(s):  
Muhammad Syah Fibrika Ramadhan ◽  
Nisrina Anggi Syahputri
Keyword(s):  
Baby Boomers ◽  
Online Shopping ◽  
Brand Choice ◽  
Transportation Cost ◽  
Digital Natives ◽  
Shopping Behavior ◽  
Three Generations ◽  
Significant Difference ◽  
The Difference ◽  
The Way

As the technology develop rapidly, people’s life is more convenient in many aspects. For instance, technology is facilitating the way people shop. In this day and age, people does not need to go to market to buy things they want as they can get it by online shopping. This way is certainly saving the time, the money as well because they do not need to pay the transportation cost. However, with the assistances that technology offered, not all people are overly dependent on technology. Some of them, mostly baby boomers gen, tend to life the old-fashioned way. This research aims to find out the difference among three generations, including baby boomers, millennials, and digital natives in their dependence on technology and how it affects their shopping behavior including the shopping objective, shopping frequency, deciding online or offline, shopping hour as well as brand choice. This study investigated about 138 persons, consisted of 30 (22%) baby boomers, 34 (25%) millennials, and 74 (53%) digital natives. The data were collected using the questionnaire consisted of 29 questions related to daily interaction to technology and shopping behavior. Oneway ANOVA was used to analyze the data. The result shows that among baby boomers, millennials, and digital natives have different responses of their technological dependence relating to shopping behavior. However, there is no significant difference among three generations. Each generation have different trait of shopping. Thus, the marketer should to know what kind of generation of their target in order to give the appropriate marketing.

scholarly journals A Novel Change Detection Method Based on Statistical Distribution Characteristics Using Multi-Temporal PolSAR Data

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1508 ◽  
Author(s):  
Jinqi Zhao ◽  
Yonglei Chang ◽  
Jie Yang ◽  
Yufen Niu ◽  
Zhong Lu ◽  
...  
Keyword(s):  
Change Detection ◽  
Optimal Threshold ◽  
Distribution Model ◽  
Test Statistic ◽  
Omnibus Test ◽  
Polarimetric Synthetic Aperture Radar ◽  
Difference Image ◽  
East Lake ◽  
Multi Temporal ◽  
The Difference

Unsupervised change detection approaches, which are relatively straightforward and easy to implement and interpret, and which require no human intervention, are widely used in change detection. Polarimetric synthetic aperture radar (PolSAR), which has an all-weather response capability with increased polarimetric information, is a key tool for change detection. However, for PolSAR data, inadequate evaluation of the difference image (DI) map makes the threshold-based algorithms incompatible with the true distribution model, which causes the change detection results to be ineffective and inaccurate. In this paper, to solve these problems, we focus on the generation of the DI map and the selection of the optimal threshold. An omnibus test statistic is used to generate the DI map from multi-temporal PolSAR images, and an improved Kittler and Illingworth algorithm based on either Weibull or gamma distribution is used to obtain the optimal threshold for generating the change detection map. Multi-temporal PolSAR data obtained by the Radarsat-2 sensor over Wuhan in China are used to verify the efficiency of the proposed method. The experimental results using our approach obtained the best performance in East Lake and Yanxi Lake regions with false alarm rates of 1.59% and 1.80%, total errors of 2.73% and 4.33%, overall accuracy of 97.27% and 95.67%, and Kappa coefficients of 0.6486 and 0.6275, respectively. Our results demonstrated that the proposed method is more suitable than the other compared methods for multi-temporal PolSAR data, and it can obtain both effective and accurate results.

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