Decision-making is the process of identifying and choosing alternative courses of action in a manner appropriate to the demands of the situation
Managers, including engineer managers, are tasked with providing leadership in the quest for the organization’s objectives, making decision-making skills crucial for success
Decision-making becomes bigger and more complicated at higher management levels
Decision-making involves adapting a procedure to determine the best option available to solve certain problems
Only executives make decisions by virtue of their position or authority
Effective managers encourage opinions but insist that those voicing opinions take responsibility for defining factual findings
The first rule in decision-making is that one does not make a decision unless there is disagreement
Effective managers focus on important decisions, base decisions on principles, insist on alternatives, and constantly monitor decision results
Identification of the problem is crucial in decision-making, as a problem exists when there is a difference between an actual and desired situation
Environmental analysis aims to identify constraints, which can be internal or external limitations
Problems may be solved by preparing a list of alternative solutions, determining their viability, and evaluating them based on value, cost, and risk characteristics
Choice-making involves selecting among alternatives representing potential solutions to a problem, with particular effort made to identify all significant consequences of each choice
Implementation refers to carrying out the decision to achieve objectives, requiring a devised plan and available resources
Control and feedback mechanisms are used to ensure decision results and provide information for future decisions
Qualitative evaluation involves intuition and subjective judgment, suitable for simple, familiar problems with immediate decisions needed
Quantitative evaluation involves rational and analytical techniques, such as inventory models, queuing theory, network models, forecasting, regression analysis, simulation, linear programming, sampling theory, and statistical decision theory
Inventory models consist of economic order quantity, production order quantity, back-order inventory, and quantity discount models
Queuing theory determines the number of service units to minimize customer waiting time and service cost
Network models break complex tasks into smaller segments, including PERT and CPM techniques
Forecasting involves collecting past and current information to make predictions about the future
Regression analysis examines the association between variables to predict future events, with simple or multiple regression depending on the number of independent variables
Simulation constructs a model to represent reality for evaluating alternatives, while linear programming produces an optimum solution within constraints
Sampling theory statistically determines samples from populations for processes like quality control and marketing research
Statistical decision theory involves rational conceptualization, analysis, and problem-solving in situations with limited information, including Bayesian analysis to revise event probabilities based on additional information
Bayesian analysis revises and updates initial assessments of event probabilities generated by alternative solutions using additional information
When a decision-maker can assign probabilities to events, the Bayes criterion selects the decision alternative with the maximum expected payoff or the minimum expected loss if working with a loss table
Reasons why managers insist on disagreement before decision making:
Safeguard against being misled by false or incomplete information
Provide alternatives to a decision
Stimulate imagination
Reasons for poor decisions:
Errors in the decision process
Bounded rationality
Sub-optimism
Bounded Rationality is a human decision-making process where individuals aim to satisfice rather than optimize, seeking a decision that is good enough rather than the best possible decision
Sub-Optimization results from different departments attempting to reach an optimum solution for their department, which may not be best for the entire organization
In the construction industry, pre-planning is crucial for the direction and success of any project
Basic rule in the planning stage:
Include the Construction superintendent at the start of planning
Break down the job into components
Prepare a construction plan for regular monitoring
Utilize new tools that save time, money, or confusion
Four dimensions of planning functions:
Philosophy
Integration
Process
Collection of Procedures
Planning at various management levels:
Top management level: strategic planning
Middle management level: intermediate planning
Lower management level: operational planning
Strategic planning determines major goals, policies, and strategies for obtaining and using resources to achieve those goals
Intermediate planning determines the contributions subunits can make with allocated resources
Operational planning determines how specific tasks can best be accomplished on time with available resources
The planning process involves setting goals, developing strategies, determining needed resources, setting standards, and creating functional area plans
Functional area plans include marketing, production, financial, and human resource management plans
Plans can be classified based on time horizon as short-range or long-range plans