Evaluating Logistics Systems in the Context of Mass Customization Based on Goal Expectation

Abstract

Given the complexity and uncertainty of logistics systems in a mass customization environment, decision-making teams often rely on linguistic phrases rather than quantifiable evaluation indices when selecting an evaluation system. This paper proposes a logistics system evaluation method based on index goal expectation. First, linguistic phrases are processed through an integration method to derive standardized weight vectors. Next, the decision-making team establishes the expected compliance degree for each alternative, which is processed using an axiomatic design to calculate the final evaluation index for each option. The options are then ranked based on these indices to identify the most appropriate logistics system. Applying this method to a company’s logistics system selection demonstrates its effectiveness and feasibility.