scholarly journals Supply Chain Optimization for Farmer-Bepari System of Agricultural Products in Bangladesh

2019 ◽  
pp. 1-13
Author(s):  
Mohammad Khairul Islam ◽  
Md. Mahmud Alam ◽  
Mohammed Forhad Uddin
Keyword(s):  
Product Distribution ◽  
Labour Cost ◽  
Agricultural Products ◽  
Raw Material ◽  
Mixed Integer ◽  
Optimization Strategy ◽  
Supply Chain Optimization ◽  
Material Cost ◽  
Production And Distribution ◽  
Milp Model

This study, for the Farmer-Bepari system of agricultural products in Bangladesh, can be formulated as a mixed integer linear programming (MILP) model. Further, it will be investigated that the significant impact of profit the attributes such as labour cost, fertilizer cost, the raw material cost of different firms and also to estimate the product distribution in different locations. To solve this MILP model, with the help of a branch and bound algorithm by using A Mathematical Programming Language (AMPL). To investigate the model we have to collect data from seven locations of three districts in Bangladesh. Also, a numerical example presented this study, which objectives illustrate the models. From the sensitivity of the production, if the raw material cost, labour cost and fertilizer cost increase is about 5%, then decrease the profit by MILP model have 0.004%, 1.6% and 1.2% respectively. Labour cost is a significant factor in profit, which changes the profit more than the raw material cost and fertilizer cost of the product. The results are helping decision-makers to identify the desired agricultural production and distribution structure optimization strategy.

scholarly journals Supply chain integration within mass customization: Tactical procurement, production and distribution modeling

2021 ◽  
Vol 14 (2) ◽  
pp. 250
Author(s):  
Mouad Benbouja ◽  
Achraf Touil ◽  
Abdelwahed Echchatbi ◽  
Abdelkabir Charkaoui
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Mass Customization ◽  
Programming Model ◽  
Exact Method ◽  
Raw Material ◽  
Mixed Integer ◽  
Dyadic Relationships ◽  
Distribution Modeling ◽  
Production And Distribution

Purpose: The actual market characteristic oriented toward customers’ requirements compels decision-makers to foresee customization abilities. Mass customization represents a valuable approach to combine customizable offers with mass production processes. From a supply chain standpoint, this paper attempts to develop an integrated procurement, production and distribution modeling to describe the generated framework structure formulation within tactical decision planning level.Design/methodology/approach: The paper provides a mixed integer linear programming model of a three echelon supply chain illustrated from the automotive industry with (a) customers: Original Equipment Manufacturers (OEMs) identified as leaders and (b) first-tier supplier: wiring harnesses manufacturer (c) second-tier supplier: raw material supplier, identified as followers. The model formulation is depicted through dyadic relationships between stakeholders considering the specific operation enablers of the environment such as make to order, modular approach in addition to the corresponding inventory management policy.Findings: The integrated model is solved by an exact method which illustrates the feasibility of the formulation in addition to the observance of the applied constraints. A sensitivity analysis is performed to highlight the interdependency across some key parameters to provide managerial insights within the studied framework while keeping the optimal solvability of the model.Research limitations/implications: The limitation of this study is the computational experiment study. An extensive experiment with a real-word case will outline the optimal solvability status of the exact method and the necessity for a performance benchmark through the approximate solving approaches.Originality/value: The present research aims to contribute as first studies toward mathematical modeling for supply chain decision planning endeavor operating within mass customization business model.

scholarly journals Coordinating the Supply Chain Network and Optimization Models of Agricultural Products in Bangladesh

2020 ◽  
pp. 57-72
Author(s):  
Mohammad Khairul Islam ◽  
Md. Mahmud Alam ◽  
Mohammed Forhad Uddin
Keyword(s):  
Supply Chain ◽  
Agricultural Products ◽  
Mixed Integer ◽  
Optimization Models ◽  
Supply Chain Network ◽  
User Cost ◽  
External Sources ◽  
Business Contract ◽  
Milp Model ◽  
The Individual

In this research introduces four different mathematical designs for the coordination and three-stage profit optimization models of agricultural products in Bangladesh. This research, we occupied that the three types of market players are coordinated by mutually sharing all kind of information related to their business. To enrich a Mixed Integer Linear Programming (MILP) model and explore the circumstance of production receptivity is inadequate for the manufacturer. The manufacturers will coverage these deficits by external sources, which decided very beginning of the business contract. This is very significant foreword in deciding so as to alleviate these challenges and to enlarge the method representation and distinct benefit of the Supply Chain Network (SCN). The coordinated system in alliance with the market players has been projected to realize the best result. The formulated MILP models optimize the maximum profit and also to optimize the best production distribution center which satisfy most of the customer demand. This paper, the formulated MILP model were solved by a mathematical programming language (AMPL) and we get the results by using appropriate solver MINOS. Analyzed a numerical example for some important parameters has been deployed to validate our proposed models. We get the results after coordination the individual profits could be increased, in the same time end user cost price decrease.

Complex Real-Life Supply Chain Planning Problems

2011 ◽  
pp. 102-127 ◽  
Author(s):  
Behnam Fahimnia ◽  
Mohammad Hassan Ebrahimi ◽  
Reza Molaei
Keyword(s):  
Supply Chain ◽  
Current Literature ◽  
Real Life ◽  
Raw Material ◽  
Mixed Integer ◽  
Supply Chain Planning ◽  
Production And Distribution ◽  
Complex Models ◽  
Tools And Techniques ◽  
Planning Problems

Supply chain planning concerns the selection of strategies and methodologies to facilitate the optimal flow of material from raw material suppliers to end-users through procurement, production and distribution activities. Supply chain (SC) implementation has significant impacts on the financial performance of manufacturing and distribution companies. Developing real-life SC models with centralised planning naturally leads to complex models which are difficult to solve optimally. This chapter firstly presents a comprehensive review on the current literature of SC planning and optimisation and classifies the published models based on their complexity. Next, a mixed-integer non-linear formulation is presented for modelling complex real-life SC planning problems which accommodates the identified gaps in the current literature. Evaluation of the available tools and techniques for the optimisation of the proposed SC model will conclude this chapter.

Complex Real-Life Supply Chain Planning Problems

2012 ◽  
pp. 1441-1466
Author(s):  
Behnam Fahimnia ◽  
Mohammad Hassan Ebrahimi ◽  
Reza Molaei
Keyword(s):  
Supply Chain ◽  
Current Literature ◽  
Real Life ◽  
Raw Material ◽  
Mixed Integer ◽  
Supply Chain Planning ◽  
Production And Distribution ◽  
Complex Models ◽  
Tools And Techniques ◽  
Planning Problems

Supply chain planning concerns the selection of strategies and methodologies to facilitate the optimal flow of material from raw material suppliers to end-users through procurement, production and distribution activities. Supply chain (SC) implementation has significant impacts on the financial performance of manufacturing and distribution companies. Developing real-life SC models with centralised planning naturally leads to complex models which are difficult to solve optimally. This chapter firstly presents a comprehensive review on the current literature of SC planning and optimisation and classifies the published models based on their complexity. Next, a mixed-integer non-linear formulation is presented for modelling complex real-life SC planning problems which accommodates the identified gaps in the current literature. Evaluation of the available tools and techniques for the optimisation of the proposed SC model will conclude this chapter.

scholarly journals Vendor-buyer coordination and supply chain optimization with deterministic demand function

2016 ◽  
Vol 26 (3) ◽  
pp. 361-379 ◽  
Author(s):  
Mohammed Uddin ◽  
Manik Mondal ◽  
Kazi Hussain
Keyword(s):  
Geographical Area ◽  
Addition Product ◽  
Product Distribution ◽  
Integer Program ◽  
Mixed Integer ◽  
Mixed Integer Program ◽  
Supply Chain Optimization ◽  
Location Selection ◽  
Deterministic Demand ◽  
Production Capacities

This paper presents a model that deals with a vendor-buyer multi-product, multi-facility and multi-customer location selection problem, which subsume a set of manufacturer with limited production capacities situated within a geographical area. We assume that the vendor and the buyer are coordinated by mutually sharing information. We formulate Mixed Integer Linear Fractional Programming (MILFP) model that maximize the ratio of return on investment of the distribution network, and a Mixed Integer Program (MIP), used for the comparison. The performance of the model is illustrated by a numerical example. In addition, product distribution and allocation of different customers along with the sensitivity of the key parameters are analyzed. It can be observed that the increment of the opening cost decreases the profit in both MILFP and MIP models. If the opening cost of a location decreases or increases, the demand and the capacity of that location changes accordingly.

scholarly journals Supply Chain Optimization Considering Sustainability Aspects

2021 ◽  
Vol 13 (21) ◽  
pp. 11873
Author(s):  
Mohammad Ali Beheshtinia ◽  
Parisa Feizollahy ◽  
Masood Fathi
Keyword(s):  
Supply Chain ◽  
Real Life ◽  
Transportation Cost ◽  
Mixed Integer ◽  
Test Problems ◽  
Improved Genetic Algorithm ◽  
Supply Chain Optimization ◽  
Environmental Aspect ◽  
Use Of Resources ◽  
Milp Model

Supply chain optimization concerns the improvement of the performance and efficiency of the manufacturing and distribution supply chain by making the best use of resources. In the context of supply chain optimization, scheduling has always been a challenging task for experts, especially when considering a distributed manufacturing system (DMS). The present study aims to tackle the supply chain scheduling problem in a DMS while considering two essential sustainability aspects, namely environmental and economic. The economic aspect is addressed by optimizing the total delivery time of order, transportation cost, and production cost while optimizing environmental pollution and the quality of products contribute to the environmental aspect. To cope with the problem, it is mathematically formulated as a mixed-integer linear programming (MILP) model. Due to the complexity of the problem, an improved genetic algorithm (GA) named GA-TOPKOR is proposed. The algorithm is a combination of GA and TOPKOR, which is one of the multi-criteria decision-making techniques. To assess the efficiency of GA-TOPKOR, it is applied to a real-life case study and a set of test problems. The solutions obtained by the algorithm are compared against the traditional GA and the optimum solutions obtained from the MILP model. The results of comparisons collectively show the efficiency of the GA-TOPKOR. Analysis of results also revealed that using the TOPKOR technique in the selection operator of GA significantly improves its performance.

scholarly journals Mathematical Programming Models for Fresh Fruit Supply Chain Optimization: A Review of the Literature and Emerging Trends

2021 ◽  
Vol 3 (3) ◽  
pp. 519-541
Author(s):  
Tri-Dung Nguyen ◽  
Tri Nguyen-Quang ◽  
Uday Venkatadri ◽  
Claver Diallo ◽  
Michelle Adams
Keyword(s):  
Supply Chain ◽  
Price Volatility ◽  
Fresh Fruit ◽  
Mixed Integer ◽  
Supply Chain Optimization ◽  
Emerging Trends ◽  
Planning Framework ◽  
Production And Distribution ◽  
Processor Speed ◽  
Functional Areas

The fresh fruit agricultural and distribution sector is faced with risks and uncertainties from climate change, water scarcity, land-use increase for industrial and urban development, consumer behavior, and price volatility. The planning framework for production and distribution is highly complex as a result. Mathematical models have been developed over the decades to deal with this complexity. With improvements in both processor speed and memory, these models are becoming increasingly sophisticated. This review focuses on the recent progress in mathematically based decision making to account for uncertainties in the fresh fruit supply chain. The models in the literature are mostly based on linear and mixed integer programming and involve variants such as stochastic programming and robust optimization. The functional areas of application include planting, harvest optimization, logistics and distribution. The perishability of the fresh fruit supply chain is an important issue as is the cycle time of cultivation and harvest.

scholarly journals Optimising the selection of food items for FFQs using Mixed Integer Linear Programming

2014 ◽  
Vol 18 (1) ◽  
pp. 68-74 ◽  
Author(s):  
Johanna C Gerdessen ◽  
Olga W Souverein ◽  
Pieter van ‘t Veer ◽  
Jeanne HM de Vries
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Selection Process ◽  
Saturated Fat ◽  
Mixed Integer ◽  
Monounsaturated Fat ◽  
Food Items ◽  
Milp Model ◽  
Selection Of

AbstractObjectiveTo support the selection of food items for FFQs in such a way that the amount of information on all relevant nutrients is maximised while the food list is as short as possible.DesignSelection of the most informative food items to be included in FFQs was modelled as a Mixed Integer Linear Programming (MILP) model. The methodology was demonstrated for an FFQ with interest in energy, total protein, total fat, saturated fat, monounsaturated fat, polyunsaturated fat, total carbohydrates, mono- and disaccharides, dietary fibre and potassium.ResultsThe food lists generated by the MILP model have good performance in terms of length, coverage and R2 (explained variance) of all nutrients. MILP-generated food lists were 32–40 % shorter than a benchmark food list, whereas their quality in terms of R2 was similar to that of the benchmark.ConclusionsThe results suggest that the MILP model makes the selection process faster, more standardised and transparent, and is especially helpful in coping with multiple nutrients. The complexity of the method does not increase with increasing number of nutrients. The generated food lists appear either shorter or provide more information than a food list generated without the MILP model.

scholarly journals Study on the hydrothermal liquefaction of antibiotic residues with molecular sieve catalysts in the ethanol–water system: focus on product distribution and characterization

RSC Advances ◽  
2021 ◽  
Vol 11 (43) ◽  
pp. 26763-26772
Author(s):  
Jian Yang ◽  
Chen Hong ◽  
Yi Xing ◽  
Zixuan Zheng ◽  
Zaixing Li ◽  
...  
Keyword(s):  
Molecular Sieve ◽  
Water System ◽  
Product Distribution ◽  
Hydrothermal Liquefaction ◽  
Raw Material ◽  
Antibiotic Residues ◽  
Bio Oil ◽  
Antibiotic Residue ◽  
System Focus

In this study, the antibiotic residue was used as a raw material to catalyze hydrothermal liquefaction (HTL) in an ethanol–water system to prepare bio-oil.

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