ISyE 3104 – Fall 2012 Homework 10 Due Tuesday October 30, 2012 (30 points) 1. (6 points) Answer briefly (one paragraph) the following questions about the “Big Depot Hurricane Planning Game”. a. (2 points) Two common decisions for disaster planning were analyzed in this case study: to contract and reserve inventory in advance, and to allocate the reserved inventory. Discuss other (at least two) important decisions to prepare and respond to a disaster in an efficient and timely way. Solution: Most of supply chain management processes and decisions apply: how to forecast the demand, how to transport (routes, mode) supplies to required locations, etc. However, decisions must take into account the very uncertain setting of a disaster and be robust enough given the different possible outcomes. For example, while deciding the best transportation mode or the best transportation route, the decision maker should consider damaged road infrastructure, airport possible conditions, etc. When forecasting the demand, we need to make sure the assumptions made consider the possibility of extreme scenarios of damage, as it is the case in a disaster setting. b. (2 points) Demand uncertainty (size and location) was identified in this case study as a very important logistics challenge when planning for a disaster. Discuss other (at least two) logistics challenges that may not have been explicitly mentioned, but that could arise in disaster planning and response. How are these challenges similar or different from the ones faced during day-to-day operations of a company such as Big-Depot? Solution: There is not only demand uncertainty in size and location, but there is also uncertainty in timing. This timing uncertainty requires a constant state of preparedness from the supply chain which could be achieved with strategies such as inventory propositioning. Also, there is uncertainty in supply. Suppliers’ supply chains may be disrupted as well, compromising the timely delivery of the supply, or high demand items might become scarce. There is a strong dependency of lastmile operations on the disaster severity, e.g. transportation infrastructure might be disrupted, or it might require equipment that may not be locally available. Information and communication might be limited as well, stressing the management and control of operations. There are multiple players involved in the disaster response (NGOs, military, government, etc.) and efficient collaboration could be challenging given the different objectives and incentives of the players. Even though supply chain decisions are somewhat similar to day-to-day operations (inventory, purchasing, transportation, etc.), disaster response poses additional challenges beyond traditional supply chain planning, which means additional opportunities on how operations researchers and supply chain management professionals could apply their knowledge and skills to positively impact lives. c. (2 points) The given budget for the purchasing decisions in the Home Depot game is $950,000. If the budget is increased, what would happen with the minimum expected total purchasing cost (expected cost of reserved plus expedited quantities)? Explain. Solution: First, assume that there is not a budget constraint. Then, the optimal quantities for this unconstrained problem (the News Vendor quantity for each product in this case) may require a larger budget. In that case the quantities will need to be adjusted, but then this implies that new expected minimum cost cannot be smaller than in the unconstrained problem since these adjusted quantities were also a feasible solution in the unconstrained problem. Increasing the budget makes the problem less constrained, and a less constrained problem will have an equal or better (expected) objective value. In this specific case, the budget constraint is binding (the News Vendor quantities exceed the budget), so if we increase the budget the minimum expected purchasing cost value should decrease. 2. (18 points) A company manufacturers item X. The product structure is described below. The number in parenthesis is the lead time for purchasing or making the given component. Item X: o Composed of 1 unit of component A, 1 unit of component B and 2 units of component C. Component A (1 week): o Composed of 2 units of component B and 1 unit of component D. Component B (2 weeks): o Composed of 2 units of component D and 3 units of component E. Component C (2 weeks) Component D (1 week) Component E (1 week) a. (4 points) Draw the product structure. Solution: b. (2 points) What is the lead time of making the item X from scratch? Explain. Solution: We assume no inventory is available (made from scratch) and that ordering and/or making tasks can be done in parallel when possible (no restrictions on capacity are given). The lead time is four weeks. First order D and E and after 1 week both components are available to make B. Then after 2 weeks B is ready. After that, it takes 1 week to make A. This makes a total of 4 weeks. Component C can be made/order in week 2. We can also find this by looking at the critical route in the diagram below. The arrows show the time needed to be in that position of the product structure. For instance it takes 3 weeks to have component B ready (arrow above B). c. (1 point) The demand for item X for weeks 5-15 is given below. The company has an initial inventory of 20 units of item X and wants a final inventory of 30 units at the end of week 15. Determine the net demand for weeks 5-15 of item X. Week Demand 5 90 6 80 7 70 8 100 9 110 10 120 11 90 12 85 13 80 14 80 15 70 Solution: To compute the net demand we just need to subtract the initial inventory from the demand in period 5 and add the final inventory to the demand in period 15. Week Demand Net Demand 1 2 3 4 5 90 70 6 80 80 7 70 70 8 100 100 9 110 110 10 120 120 11 90 90 12 85 85 13 80 80 14 80 80 15 70 100 d. (4 points) Determine the planned order release (lot for lot) for component B. Solution: Since component B is needed for both item X and component A, we need to determine when these components A are going to be produced so we can make sure we have enough units of component B. From c), we know when we are producing item X. We now need to compute the same for component A, which is equivalent to compute the planned order release for A. Component A planned order release: Week Gross. Requirements Net requirements Time‐phased Planned release 1 2 3 4 70 70 5 70 70 80 80 6 80 80 70 70 7 70 70 100 100 8 100 100 110 110 9 110 110 120 120 10 120 120 90 90 11 90 90 85 85 12 85 85 80 80 13 80 80 80 80 14 80 80 100 100 15 100 100 Now, we can compute the gross requirements of B. At each period we add the production of item X plus the order release of A times 2 (since two units of B are needed for each unit of A produced) Component B planned order release: Week Gross. Requirements Net requirements Time‐phased Planned release 1 2 3 140 140 230 230 4 140 140 220 220 5 230 230 270 270 6 220 220 320 320 7 270 270 350 350 8 320 320 300 300 9 350 350 260 260 10 300 300 245 245 11 260 260 240 240 12 245 245 280 280 13 240 240 100 100 14 280 280 15 100 100 e. (2 points) Determine the planned order release (lot for lot) for component D. Solution: Now that we have the planned order release of A and B, we can compute the gross requirements for component D: one for each component A produced, plus 2 for each component B produced at any given period. Component D planned order release: Week Gross. Requirements Net requirements Time‐phased Planned release 1 280 280 2 280 280 460 460 3 460 460 510 510 4 510 510 620 620 5 620 620 710 710 6 710 710 800 800 7 800 800 710 710 8 710 710 640 640 9 640 640 580 580 10 580 580 565 565 11 565 565 640 640 12 640 640 280 280 13 280 280 100 100 14 100 100 15 f. (5 points) Determine the planned order release (lot for lot) for component C. Consider that there is an initial inventory of this component of 200 units at week 1 and a scheduled receipt of 200 units in week 6 and another of 300 units in week 8. Solution: We need to incorporate the initial inventory in week 1 and the scheduled receipts. The initial inventory of each period is just the final inventory of the previous period. The final inventory of each period is found by adding the initial inventory of the period plus the scheduled receipts and subtracting the gross requirements, if this quantity is negative then this equals the net requirements for the period and the final inventory is zero for that period. Component C planned order release: Week Gross. Requirements Sch. Receipts Initial inventory Net requirements Time‐phased Planned release Final inventory 1 2 3 4 5 140 200 200 200 200 200 0 0 200 0 0 200 200 0 40 40 60 200 6 160 200 60 0 0 0 100 7 140 100 40 120 120 0 8 200 300 0 0 240 240 100 9 220 10 240 11 180 12 170 13 160 14 160 15 200 100 120 180 180 0 0 240 170 170 0 0 180 160 160 0 0 170 160 160 0 0 160 200 200 0 0 160 0 0 0 0 200 0 0 0 3. (6 points) Another component used by the manufacturing company in Problem 2, Component Y, is imported from Europe and the order cost is $2,000. Given this high order cost, the company is analyzing to use an EOQ lot sizing instead of lot for lot. The cost of component Y is $350 per unit. The company uses an annual interest rate of 22% for holding inventory. Order lead-time is 2 weeks. Net requirements for this component are given below for weeks 5-15. Determine the planned order release (EOQ) for component Y. Assuming that the inventory holding cost is charged against the inventory at the end of each week, what are the ordering and inventory holding costs associated with this EOQ lot sizing strategy and the net requirements in the table below? Based on these costs, is it this EOQ lot sizing strategy better than a lot for lot sizing strategy for this component? Why? Week Net requirements 5 155 6 150 7 165 8 150 9 120 10 110 11 100 12 110 13 120 14 125 the EOQ 15 110 Solution: The average demand . . / rate is 128.63. We compute and get 589. We use this EOQ to compute the planned order release. To compute when we need an order release we look at the time-phased requirements and every time that for a given period the accumulated time-phased requirements are greater than the accumulated production, a new lot with size Q needs to be released. The final inventory of a period is computed by adding the previous period ending inventory (initial inventory for the current period) plus any delivery planned for the period minus the requirements for the period. Component Y planned order release: EOQ Week Net requirements Time‐phased Planned release Planned deliveries Ending Inventory 3 4 155 589 150 0 5 155 165 0 589 434 6 150 150 589 0 284 7 165 120 0 0 119 8 150 110 0 589 558 9 120 100 0 0 438 10 110 110 0 0 328 11 100 120 589 0 228 12 110 125 0 0 118 13 120 110 0 589 587 14 125 15 110 0 462 0 352 During these periods Q is ordered 3 times, so the ordering cost is $2,000*3= $6,000. The holding cost is the sum of the ending inventory times the weekly holding cost: 3908*1.48=$5,787. The sum of these costs is $11,787 We now compute the cost for a lot-for-lot strategy. Since we produce exactly the amount we need for the period, the carried inventory is zero. However, we will need to order every period, so the ordering cost is $2,000*11=$22,000. The EOQ lot sizing is therefore a better option (lower cost). Component Y planned order release: lot-for-lot Week Net requirements Time‐phased Planned release Planned deliveries Ending Inventory 3 4 155 155 150 150 5 155 165 165 155 0 6 150 150 150 150 0 7 165 120 120 165 0 8 150 110 110 150 0 9 120 100 100 120 0 10 110 110 110 110 0 11 100 120 120 100 0 12 110 125 125 110 0 13 120 110 110 120 0 14 125 15 110 125 0 110 0