23-CS-4 Engineering Management · May 2014
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
National Exams — May 2014 — 11-CS-4 Engineering Management. Closed book; no calculators. Any five of the seven questions constitute a complete paper; all questions are of equal value. Answers are written in point form where possible, but fully, as instructed. Complete answers to all seven questions follow.
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.
Identifying target markets is a disciplined research process rather than an act of intuition. It begins with defining the problem and research objectives—what decision the research must inform—followed by developing the research plan, which specifies the data needed and the methods for gathering it. The organization then collects data, drawing on secondary sources (existing reports, industry statistics) and primary sources (surveys, interviews, focus groups, observation). The data are analyzed to reveal patterns in customer needs and behaviour, after which the market is segmented into groups that are homogeneous within and distinct between, using geographic, demographic, psychographic, and behavioural variables. Each segment is then evaluated for size, growth, profitability, accessibility, and fit with company capabilities, and the most attractive segments are selected as targets. Finally the firm develops a positioning strategy defining how the product will be perceived relative to competitors. The results are reported to guide the marketing decision.
Bringing a new product or service to market carries market, technical, and financial risk, and several tools help analyze it. SWOT analysis frames strengths, weaknesses, opportunities, and threats. Scenario analysis and sensitivity analysis test how outcomes vary with uncertain assumptions such as price, volume, and cost. Break-even analysis establishes the volume at which the product becomes profitable. Decision trees map sequential decisions and their probabilistic payoffs, while expected-value and probability analysis weight outcomes by likelihood. FMEA anticipates technical failure modes, and Monte-Carlo simulation combines many uncertain variables into a distribution of possible results. Qualitative techniques—risk checklists, expert judgement, and the risk matrix that ranks risks by probability and impact—complete the toolkit, supporting a risk-response plan of avoidance, mitigation, transfer, or acceptance.
Strategic planning for a new product or process is organized around a set of fundamental questions. Where are we now (what is our current position, capability, and market)? Where do we want to go (what are our objectives)? What is the market opportunity and who are the customers and competitors? What are our strengths and weaknesses relative to that opportunity? What resources—capital, technology, skills—will the initiative require, and do we have or can we acquire them? What are the risks and how will we manage them? What is the expected financial return, and does it justify the investment? How will we implement the plan, and how will we measure success? Asking and answering these questions systematically converts an idea into a defensible strategy.
A firm considering a new water-quality sensor would survey municipal utilities to segment the market, select mid-sized utilities as the primary target, and position on reliability. It would then build a decision tree combining technical-success probability with forecast adoption, run break-even and sensitivity analysis on price and volume, and answer the strategic-planning questions in a formal business case before authorizing development.
