Hello friend , hope you are doing well
i'm asking to write a goal and study plan for a KGSP programm , can u please check it with me, i would really appreciate ur help
Goals of study
During my studies , i was always wondering how difficult can the supply chain management be .and how to sucess the optimisation of the supply chain activities. During my internships i descovred that this is not a simple matter.and i found that supplu chain management is like trying to solve a Rubik's Cube for the first time.we could always get to a point where two faces of the cube were solved, but, in assembling the third,we disrupted the first two but it still amazing, that's why i want to pursuit my phd studies in this field so i can take up the challenge and solve decision-making problmes encountered in logistic chains
Study plan : Planning and scheduling in a multi-site multi-product supply chain, taking into account the green concept
In a competitive environment, companies opt for a multi-site structure. Such an organization aloows to save in terms of time (production and distribution) and in terms of cost. Yet a major difficulty of this structure is the coordination and steering between The different sites and also the optimization of the time and cost.
The effectiveness of the piloting is strongly dictated by an efficient planning of the Manufacturing and transport operations on the various sites of the company.
This efficiency is still missing due to the inconsistency between tactical and operational decisions which generates many problems resulting in customer dissatisfaction.
Beyond the need for collaborative management, companies are obliged to respect environmental constraints.
While Actually Environment problems are one of the most important challenges almost every countries which are facing. In this context enterprises have Recently started considering Green Supply Chain Management for the purpose of securing a competitive advantage over other enterprises because of the increase of international conventions related to the recent climate change, the strengthening of global regulations for environment protection.
The problem of multi-site planning and scheduling has been the subject of several studies. However, the proposed models remain unresponsive and do not address the problem as a whole. Moreover, very little work has considered the environmental aspects in planning.
This fact triggers me to do further researches In order to fill the absence of a reference model for this problem .
The objective of this research project is to provide a model of decision support that will enable multi-site companies to respond to the problem of inconsistency between tactical and operational decisions. That is to say, to establish distribution and production plans for each site, A plan to which corresponds a schedule achievable in the desired time while minimizing the logistical costs. And respecting the environmental constraints for a sustainable logistics.
[Lemoine, 2008] proposed a generic model for multi-site planning that seeks to minimize logistical costs. However, the use of flexibility levers (subcontracting, overtime ...) is not taken into account as well as the environmental aspect is neglected. In addition, no resolution approach is mentioned [Trojet et al., 2014], have proposed a planning approach that takes into account flexibility levers but it's dedicated to a case study and does not include transportation And environmental constraints. Wu and Chang (2004) present an optimal program of production planning taking into account environmental costs, but transport costs and rejections have not been taken into account. Therefore, in my future research, I would like to combine the idea of trojet and all [1] with lemoine [2] and wu et chang[3] To develop an integrated planning and scheduling model with the objective of minimizing the overall costs of storage and transport production, thereby minimizing environmental risks, subject to constraints related to transport storage production resources, And carbon emission rates, and propose an approach to solving the model.
To succeed in the research project I will adopt the following plan:
The 1st year of Phd will be devoted to bibliographic research to discover in detail the existing work on the subject in order to be able to define the subject with accuracy and to position the future works. In the 2nd half of the 1st year I will solve some problems. The 2nd year will be the year of solution, develop the model and propose methods of resolution and find an industrial framework to test them in terms of robustness and precision of the given solution and in terms of resolution time.
This work will be published to highlight the project and finally the 3rd year would be the year of finalization of the project, validation of the model and resolution approach and drafting of the report.
At the end of this project, the decision support tool developed will allow to draw up distribution plans which minimize the transport costs. To determine for each site the optimal quantities to produce each product to guarantee the customer The availability of the product at the right time and at a good price
Minimize carbon emissions throughout the chain for sustainable logistics
Allowing the decision-maker to re-establish production plans in the event of disruptions to the production system (hazards, cancellation of orders ...) leaves with a min of loss.
i'm asking to write a goal and study plan for a KGSP programm , can u please check it with me, i would really appreciate ur help
EFFECTIVE MANAGEMENT OF THE SUPPLY CHAIN
Goals of study
During my studies , i was always wondering how difficult can the supply chain management be .and how to sucess the optimisation of the supply chain activities. During my internships i descovred that this is not a simple matter.and i found that supplu chain management is like trying to solve a Rubik's Cube for the first time.we could always get to a point where two faces of the cube were solved, but, in assembling the third,we disrupted the first two but it still amazing, that's why i want to pursuit my phd studies in this field so i can take up the challenge and solve decision-making problmes encountered in logistic chains
Study plan : Planning and scheduling in a multi-site multi-product supply chain, taking into account the green concept
In a competitive environment, companies opt for a multi-site structure. Such an organization aloows to save in terms of time (production and distribution) and in terms of cost. Yet a major difficulty of this structure is the coordination and steering between The different sites and also the optimization of the time and cost.
The effectiveness of the piloting is strongly dictated by an efficient planning of the Manufacturing and transport operations on the various sites of the company.
This efficiency is still missing due to the inconsistency between tactical and operational decisions which generates many problems resulting in customer dissatisfaction.
Beyond the need for collaborative management, companies are obliged to respect environmental constraints.
While Actually Environment problems are one of the most important challenges almost every countries which are facing. In this context enterprises have Recently started considering Green Supply Chain Management for the purpose of securing a competitive advantage over other enterprises because of the increase of international conventions related to the recent climate change, the strengthening of global regulations for environment protection.
The problem of multi-site planning and scheduling has been the subject of several studies. However, the proposed models remain unresponsive and do not address the problem as a whole. Moreover, very little work has considered the environmental aspects in planning.
This fact triggers me to do further researches In order to fill the absence of a reference model for this problem .
The objective of this research project is to provide a model of decision support that will enable multi-site companies to respond to the problem of inconsistency between tactical and operational decisions. That is to say, to establish distribution and production plans for each site, A plan to which corresponds a schedule achievable in the desired time while minimizing the logistical costs. And respecting the environmental constraints for a sustainable logistics.
[Lemoine, 2008] proposed a generic model for multi-site planning that seeks to minimize logistical costs. However, the use of flexibility levers (subcontracting, overtime ...) is not taken into account as well as the environmental aspect is neglected. In addition, no resolution approach is mentioned [Trojet et al., 2014], have proposed a planning approach that takes into account flexibility levers but it's dedicated to a case study and does not include transportation And environmental constraints. Wu and Chang (2004) present an optimal program of production planning taking into account environmental costs, but transport costs and rejections have not been taken into account. Therefore, in my future research, I would like to combine the idea of trojet and all [1] with lemoine [2] and wu et chang[3] To develop an integrated planning and scheduling model with the objective of minimizing the overall costs of storage and transport production, thereby minimizing environmental risks, subject to constraints related to transport storage production resources, And carbon emission rates, and propose an approach to solving the model.
To succeed in the research project I will adopt the following plan:
The 1st year of Phd will be devoted to bibliographic research to discover in detail the existing work on the subject in order to be able to define the subject with accuracy and to position the future works. In the 2nd half of the 1st year I will solve some problems. The 2nd year will be the year of solution, develop the model and propose methods of resolution and find an industrial framework to test them in terms of robustness and precision of the given solution and in terms of resolution time.
This work will be published to highlight the project and finally the 3rd year would be the year of finalization of the project, validation of the model and resolution approach and drafting of the report.
At the end of this project, the decision support tool developed will allow to draw up distribution plans which minimize the transport costs. To determine for each site the optimal quantities to produce each product to guarantee the customer The availability of the product at the right time and at a good price
Minimize carbon emissions throughout the chain for sustainable logistics
Allowing the decision-maker to re-establish production plans in the event of disruptions to the production system (hazards, cancellation of orders ...) leaves with a min of loss.