Question: Designing and Optimizing a Supply Chain: Keeping Drivers Safe in the Winter Marie Harnly, Laurent Boinot and Mark Fagan, Harvard Kennedy School, HKS Case KS

Designing and Optimizing a Supply Chain: Keeping Drivers Safe in the Winter
Marie Harnly, Laurent Boinot and Mark Fagan, Harvard Kennedy School, HKS Case KS1325, June 30,2020
Questions for the case study analysis
(Fully justify each response.)
#1)(10 marks) Specify four major supply chain management#2)(18 marks) For each of the four supply chain management risks specified in question #1, propose, where applicable: i) one avoidance approach (to avoid the risk completely or almost completely), ii) one prevention approach (to decrease the probability of occurrence of risk) and iii) one mitigation approach (to decrease the negative impact (severity) of the risk).Designing and Optimizing a Supply Chain: Keeping Drivers Safe in the Winter
Marie Harnly, Laurent Boinot and Mark Fagan, Harvard Kennedy School, HKS Case KS1325, June 30,2020
Questions for the case study analysis
(Fully justify each response.)
#1)(10 marks) Specify four major supply chain management risks faced by Winterlands Department of Public Works (DPW). Argue the significance of each risk for the department to maintain an effective road salting operation in the Winterland County.
#2)(18 marks) For each of the four supply chain management risks specified in question #1, propose, where applicable: i) one avoidance approach (to avoid the risk completely or almost completely), ii) one prevention approach (to decrease the probability of occurrence of risk) and iii) one mitigation approach (to decrease the negative impact (severity) of the risk).(If a given approach is not appropriate for the specified risk, indicate so and justify.)
#3)(22 marks) Using the information and the data provided in the case and on the supplementary Excel spreadsheet that is available, develop a multi period linear programming (LP) formulation to deal with an optimization problem of your choice relevant to the case. (The scope of the chosen problem does not have to incorporate the entire set of data provided in the text and / or in the Excel supplement. However, the scope should be coherent, using part, not all, of the information and data provided in the case and / or in the Excel supplement.) Do not solve the formulated problem.
a) Provide the assumptions involved in the LP formulation.
b) Define (in mathematical notation and in words) the decision variables.
c) Define (in mathematical notation and in words) the parameters involved in the objective function and the constraints.
d) Write the LP formulation in its entirety using the relevant parameter values provided in the case. (i.e., Do not write C1X1. Instead, provide the value for C1 from the case.) optimization problem of your choice relevant to the case. (The scope of the chosen problem does not have to incorporate the entire set of data provided in the text and / or in the Excel supplement. However, the scope should be coherent, using part, not all, of the information and data provided in the case and / or in the Excel supplement.) Do not solve the formulated problem.
a) Provide the assumptions involved in the LP formulationb) Define (in mathematical notation and in words) the decision variables.
c) Define (in mathematical notation and in words) the parameters involved in the objective function and the constraints.
d) Write the LP formulation in its entirety using the relevant parameter values provided in the case. (i.e., Do not write C1X1. Instead, provide the value for C1 from the case.)

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