Question 4 of 7: 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 — December 2016 — 98-Ind-A4 Production Management. Three-hour, closed-book exam; Casio or Sharp approved calculators only. Format: seven questions, each worth 20 marks (sub-part weights as tabulated on the front page); only the first five questions appearing in the answer book are marked, so candidates effectively choose 5 of 7. All seven 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-management systems; 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 and production-system inefficiency; Niebel & Freivalds, Methods, Standards, and Work Design — division of labour and work-design history; Liker, The Toyota Way, and the Toyota Production System literature — 5S, Five Whys, and lean root-cause analysis.
Question 4: 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). The Edison order is a new customer on top of the existing Heavy market, so the Heavy demand constraint becomes a two-sided bound: a floor that guarantees the contract is met every month, and a ceiling equal to the existing market plus the contract:
$$10{,}000\le\sum_p x_{Hp}\le7{,}000+10{,}000=17{,}000.$$
All other constraints (Medium and Light demand, assembly capacity, lithium supply, non-negativity) are unchanged. An equivalent form adds a separate variable $e_p$ for Edison batteries made at plant $p$, with $\sum_p e_p=10{,}000$, and adds $e_p$ to each plant's assembly constraint and $200e_p$ to its lithium constraint. Writing $\sum_p x_{Hp}=10{,}000$ would be wrong, because it drops the existing 7,000-unit Heavy market.
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.
$$\boxed{\text{The Edison Motors requirement is infeasible against the given resource limits.}}$$
Li needed for 10,000 Heavy batteries/month (Edison Motors)
2,000,000 kg/month
Max Heavy batteries producible on all available Li
1,050 units/month
Part (b) verdict
Infeasible as stated — contract cannot be met from these three plants
Check — data infeasibility, not a formulation error
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.