Capacity and material requirement planning modelling by comparing deterministic and fuzzy models

Fuzzy sets to model master production effectively in Make to Stock companies with Lack of Homogeneity in the Product

“…Indeed, the improvement of 8.9% provided by the fuzzy model is aligned with other applications of fuzzy models reported in the literature: 7.8% in Peidro et al [27], 9.7% in Mula et al [48] and 5.5% in Phuc et al [43] in costs, among others.…”

“…The percentage of improvement achieved by the fuzzy model over the customer service level can be considered relevant if it is compared with others reported in the literature: 0.5% for Peidro et al [27] and 0.05% for Mula et al [48]. As it can be observed, the improvement obtained by the fuzzy model in terms of the customer service level is lower than in terms of profits.…”

Reporting on Internationalization of Operations, GLOBOP: Design and Management of Global Supply Chains

“…On the one hand, they can be used to incorporate the epistemic uncertainty or lack of knowledge in input parameters into the analytical models or fuzziness in their objectives [22][23][24]. On the other hand, fuzzy optimization can be used as a solution technique for Multiobjective mathematical programming models [25][26][27].…”

A Conceptual Model for Integrating Transport Planning: MRP IV

“…However, the premise of a completely deterministic scenario does not match the reality of a manufacturing environment. The literature reports different approaches to consider uncertainty in MRP systems, such as simulation [11], [12], stochastic inventory control [13], fuzzy logic [14], fuzzy mathematical programming [15][16][17][18], fuzzy programming with resources based on the credibility theory [19] and MRP parameterization [20][21][22], among others. Other approaches to consider uncertainty in MRP systems can be found in several reviews [23][24][25].…”