Question 5 of 8: Li-Ion Battery Production LP Across Three Plants
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
National Technical Examinations — May 2017 — 98-Ind-A4 Production Management. Three-hour, closed-book exam; Casio or Sharp approved calculators only. Format: eight questions, each worth 20 marks (sub-part weights 10/10 as tabulated on the front-page marking scheme); only the first five questions appearing in the answer book are marked, so candidates effectively choose 5 of 8. All eight are solved below for completeness. The paper asks for point-form answers wherever possible; the solutions below use full working for clarity.
Reference texts: Nahmias & Olsen, Production and Operations Analysis (7th ed., Waveland/McGraw-Hill) — forecasting, inventory (EOQ) and aggregate planning; Sipper & Bulfin, Production: Planning, Control, and Integration — production scheduling and shop-floor implementation gaps; Hillier & Lieberman, Introduction to Operations Research (11th ed.) — LP formulation and project scheduling (CPM/PERT); Pinedo, Scheduling: Theory, Algorithms, and Systems (5th ed.) — parallel-machine scheduling, makespan and tardiness; Hopp & Spearman, Factory Physics (3rd ed.) — variability, buffering, and production scheduling; Liker, The Toyota Way, and the Toyota Production System literature — 5S, Five Whys, and lean root-cause analysis.
Question 5: Li-Ion Battery Production LP Across Three Plants (20 marks)
Find. (a) A profit-maximizing LP formulation across grades and plants; (b) the same formulation with a guaranteed 10,000-unit/month Heavy order added, plus a feasibility check against the given resource limits.
Approach. Define one continuous decision variable per (grade, plant) pair, build the objective and the three natural resource limits (demand, assembly capacity, lithium supply), then add part (b)'s guaranteed-order requirement as an additional constraint on the same variable set.
Decision variables and objective. Let $x_{gp}\ge0$ be the number of batteries of grade $g\in\{H,M,L\}$ produced at plant $p\in\{QC,TOR,SEA\}$ per month. The objective is
$$\max Z=\sum_{g,p}\pi_g x_{gp}=12\sum_p x_{Hp}+10\sum_p x_{Mp}+7\sum_p x_{Lp}.$$
Demand constraints (one per grade, summed across all plants).
$$\sum_p x_{Hp}\le7{,}000,\qquad\sum_p x_{Mp}\le9{,}000,\qquad\sum_p x_{Lp}\le4{,}000.$$
Assembly-capacity constraints (one per plant, summed across all grades).
$$\sum_g x_{gQC}\le5{,}500,\qquad\sum_g x_{gTOR}\le7{,}500,\qquad\sum_g x_{gSEA}\le2{,}200.$$
Lithium-supply constraints (one per plant, weighted by each grade's Li requirement).
$$200x_{HQC}+150x_{MQC}+100x_{LQC}\le100{,}000,$$
$$200x_{HTOR}+150x_{MTOR}+100x_{LTOR}\le70{,}000,$$
$$200x_{HSEA}+150x_{MSEA}+100x_{LSEA}\le40{,}000,$$
$$x_{gp}\ge0\ \ \forall g,p.$$
This is the complete part-(a) formulation: 9 decision variables, 3 demand constraints, 3 assembly constraints, 3 lithium constraints, and non-negativity.
Edison Motors modification (part b). Add a single new constraint requiring total Heavy production (across all three plants) to meet the 10,000-unit/month contract:
$$10{,}000\le\sum_p x_{Hp}\le7{,}000+10{,}000=17{,}000.$$
The Edison order is new business on top of the existing Heavy market, so it does not replace the original 7,000 ceiling. The lower bound forces the 10,000 contract units to be made every month, and the upper bound still allows up to 7,000 more Heavy batteries for the existing market. An equivalent form adds a separate variable $e_p\ge0$ for Edison units at plant $p$, with $\sum_p e_p=10{,}000$, and adds $e_p$ to plant $p$'s assembly and lithium rows. The original $\sum_p x_{Hp}\le7{,}000$ stays unchanged in that form. All other constraints are unchanged.
Feasibility check on the Edison Motors requirement. Total lithium capacity across all three plants is $100{,}000+70{,}000+40{,}000=210{,}000$ kg/month. Producing 10,000 Heavy batteries alone requires $10{,}000\times200=\boxed{2{,}000{,}000\ \text{kg Li/month}}$ — roughly ten times the plant network's entire lithium supply. Equivalently, even devoting all available lithium to Heavy batteries and nothing else, the network could produce at most $210{,}000/200=\boxed{1{,}050\ \text{Heavy batteries/month}}$, barely a tenth of the 10,000 required.
$$\boxed{\text{The Edison Motors requirement is infeasible against the given resource limits.}}$$
Infeasible as stated — contract cannot be met from these three plants
Check: the formulation itself in part (b) is correct and complete as requested; the exam's own numbers make the resulting model infeasible, since the Edison Motors floor alone needs roughly 9.5× the entire network's lithium supply. The formulation is therefore kept correct, and the data infeasibility is flagged here rather than forcing a feasible-looking but fabricated answer.