A procedure for dealing with multiple objectives in cell formation decisions
提出一个结合随机种子启发式、非支配解理论和偏好锥理论的程序，帮助管理者在单元形成决策中处理多个目标，避免复杂的整数规划模型，并通过一个四目标实例展示其效率。
Abstract A procedure for dealing with multiple objectives in cell formation decisions is proposed. Theoretical foundations from multiobjective decision making have been utilized to provide a framework for the study. The purpose of the study is to develop a procedure that provides managers with a means of developing multiple objective cell formation decisions as an alternative to intractable integer programming models. We use a best of random seeds heuristic to generate a large number of alternatives. Nondominated solution theory is used to develop a list of potentially useful alternatives. Finally, preference cone theory is used to aid decision maker selection from these nondominated alternatives. Each of these three technologies have been developed elsewhere. This study considers aspects of applying these technologies to cell formation decisions. The procedure and its theoretical underpinnings are explained step‐by‐step and illustrated in a four‐objective, four‐cell, 24‐machine, and 50‐part cell formation problem. The example contains 12 nondominated solutions and requires only four pairwise comparisons of nondominated solutions by a decision maker before convergence to the preferred solution. Computer processing requirements are not burdensome, and decision maker participation is expected to be efficient.