23-CS-4 Engineering Management · May 2018
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
National Exams — May 2018 — 11-CS-4 Engineering Management. Closed book; no calculators. Any five questions constitute a complete paper; all questions are of equal value (20 marks each). Full worked answers to all seven questions are given below.
Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.
Marketing research for target-market identification proceeds as a disciplined, sequential process rather than an ad-hoc survey. It begins with defining the problem and research objectives—stating precisely what market question must be answered, such as which customer groups a new product should serve. The second step is developing the research plan: deciding what data are required, and whether to gather secondary data (existing industry reports, census and trade statistics) or primary data collected first-hand through surveys, focus groups, interviews, and observation. The third step is collecting the data according to that plan, using a representative sample so the results generalize to the wider population. The fourth step is analyzing the data—reducing raw responses to meaningful patterns through statistical summary and cross-tabulation. Crucially, the market is then segmented along geographic, demographic, psychographic, and behavioural dimensions, each segment is evaluated for size, growth, and profitability, and the firm selects the target segment(s) it is best able to serve. The final step is presenting the findings and positioning the offering so that decisions on product, price, promotion, and place follow logically from the evidence.
Bringing a new product or service to market exposes the firm to technical, commercial, and financial risk, and several established tools are used to identify and quantify it. SWOT analysis frames internal strengths and weaknesses against external opportunities and threats. Failure Mode and Effects Analysis (FMEA) systematically lists potential failure modes, rates each by severity, likelihood of occurrence, and detectability, and multiplies these into a Risk Priority Number that ranks what must be mitigated first. Sensitivity analysis varies one uncertain input at a time—price, volume, cost—to see how strongly the projected outcome responds, while scenario analysis examines coherent best-case, most-likely, and worst-case futures together. Decision-tree analysis maps sequential choices and their probabilistic payoffs, and Monte-Carlo simulation draws thousands of random samples from the input distributions to produce a probability distribution of the result rather than a single deceptive point estimate. A risk register and probability–impact matrix then document each risk, its owner, and its response (avoid, reduce, transfer, or accept). Together these convert vague apprehension into quantified, prioritized, and manageable exposure.
Strategic planning for a new product or process is organized around a set of searching questions. Where are we now? examines the firm's present position, capabilities, and competitive environment. Where do we want to go? defines the mission, vision, and specific objectives the new product must advance. What is our market and who is the customer? establishes demand, segments, and unmet needs. Who are our competitors and what is our advantage? probes differentiation and sustainability. What resources—capital, people, technology—are required, and do we have them? tests feasibility. How will we get there? selects the strategy and the marketing and operations plans to execute it. Finally, How will we measure success and control progress? sets the metrics, milestones, and review mechanisms. Answering these questions honestly aligns the technical development effort with a coherent business rationale.
A firm launching a compact water-quality sensor would first run secondary research on municipal and industrial demand, then survey plant operators to segment the market by application and select the industrial-monitoring niche. An FMEA on the sensor and a Monte-Carlo model of unit cost and adoption rate would quantify the launch risk, while the strategic-planning questions would confirm that the firm's electronics competence gives a defensible advantage and that the capital required is available before committing to full production.