Manufacturing Investment and Allocation in Product Line Design Decision-Making

Abstract

An important aspect of product development is design for manufacturability (DFM) analysis that aims to incorporate manufacturing requirements into early product decisionmaking. Existing methods in DFM seldom quantify explicitly the tradeoffs between revenues and costs generated by making design choices that may be desirable in the market but costly to manufacture. This paper builds upon previous work coordinating models for engineering design and marketing product line decision-making by incorporating quantitative models of manufacturing investment and production allocation. The result is a methodology that considers engineering design decisions quantitatively in the context of manufacturing and market consequences in order to resolve tradeoffs, not only among performance objectives, but also between market preferences and manufacturing cost.

An interactive meta-goal programming-based decision analysis methodology to support collaborative manufacturing

“…The utility function of the optimisation problem is thus to minimise the differences between the cascaded targets, and the actual target achievable by the sub-systems. Analytical target cascading has been mainly used in multi-system product development and manufacturing process problems [13][14][15], however Ling et al [16] has successfully used this approach to solve distributed production planning and supplier selection problems. This top-to-bottom approach does not encourage sub-systems to aspire, and thus fails to emphasis the maximum potential that every individual manufacturing entity has to offer.…”

“…Analytical target cascading [13][14][15][16] is a MCDM optimisation approach for decision problems with hierarchical multi-level decision objectives. This approach decomposes a system into a hierarchical structure of sub-systems.…”

Co-Evolution of Product Families and Assembly Systems

“…The line layout is shown in Fig. 3 and the task assignments are [ (1,2,4), (3,5), (6,7,8), (9,10,11)]. 3.2 Generation 2 product family and assembly system Two new modules, M12 and M13, are introduced in the second generation (Gen 2).…”

“…Early concurrent engineering techniques focused on the integration of the detailed design phase with manufacturing [3]. More recent concurrent engineering techniques integrate the earlier conceptual product design phase with manufacturing system design in order to simultaneously determine product family and manufacturing system costs [4][5][6]. Figure 1 illustrates the main difference between coevolution and traditional concurrent engineering strategies.…”

A Market-Driven Approach to the Design of Platform-Based Product Families

“…Demand-models not only help capture production costs (as a function of production volume) more accurately but also help estimate revenues (as a function of market share). In recognition of the increasing importance of market considerations in product development, some recent developments [13][14][15][16] have included the use of a demand model as part of an enterprise-driven approach to the design of product families. However, in our opinion, these developments have only dealt with the problem of product line positioning in a limited way.…”