In the past decades, there has been an increasing body of research in vehicle routing problems involving cumulative costs. These consider objective functions such as sum arrival times to customers or costs based on vehicles' load throughout routes. This paper reviews this type problem by means (Cum-VRP) and capacitated (CCVRP). doing so, we present discuss all related variants with regard different features proposed over time. Moreover, provide analysis papers concerning solution algorithms...

Background: Distribution systems often face the dual challenge of delivering products to customers and retrieving damaged items for repair, especially when service center is separate from depot. An optimized solution this logistics problem produces benefits in terms costs, greenhouse gas emissions, disposal reduction. Methods: This research proposes a Capacitated Vehicle Routing Problem with Service Center (CVRPwSC) model determine optimal routes involving customers, depot, center....

This paper studies the Cumulative Capacitated Vehicle Routing Problem, including Priority Indexes, a variant of classical which serves customers according to certain level preference. problem can be effectively implemented in commercial and public environments where customer service is essential, for instance, delivery humanitarian aid or waste collection systems. For this problem, we aim minimize two objectives simultaneously, total latency tardiness system. A Mixed Integer formulation...

This research introduces a stochastic version of the multi-mode resource-constrained project scheduling problem (MRCPSP) and its mathematical model. In addition, an efficient multi-start iterated local search (MS-ILS) algorithm, capable solving deterministic MRCPSP, is adapted to deal with proposed problem. For version, MRCPSP NP-hard optimization that has been widely studied. The deals trade-off between amount resources each activity requires duration. case formulation, execution times...

Abstract A sustainable closed‐loop supply chain network requires conjunctive implementation of reverse logistics in the chain, with decisions that consider economic, environmental, and social factors. In real life, problem needs to be addressed by prioritizing targets or interacting between them give a range solutions decision maker. this context, work proposes novel multi‐objective based on revised design model hybrid recovery centers minimizing (1) total economic cost, (2) CO 2 emission...

Purpose Fashion retail companies typically exhibit short life-cycles, high volatility and low predictability. Therefore, their success is largely determined by the organisation’s flexibility responsiveness. The purpose of this paper to present a methodology facilitate inventory control minimise both shortages excess for multi-product, multi-period finite time horizon problem using statistical stochastic analysis. Design/methodology/approach proposed operates in two phases: first phase...

Abstract This study proposes three new versions of the well-known linear programming technique for multidimensional preference analysis (LINMAP). LINMAP addresses multi-criteria decision problem by analyzing individual differences in preferences relation to a set prespecified incentives attribute space. The proposed models satisfy decision-maker’s specific needs, such as determining fixed number be active or assigning minimum/maximum weight incentives. performance developed is assessed using...

Abstract In this paper, we study the multi-depot k -traveling repairman problem. This problem extends traditional traveling to case. Its objective, similar single depot variant, is minimization of sum arrival times customers. We propose two distinct formulations model problem, obtained on layered graphs. order find feasible solutions for largest instances, a hybrid genetic algorithm where initial are built using splitting heuristic and local search embedded into algorithm. The efficiency...

Lean Healthcare (LHC) is a widely accepted approach to improve the quality of care around world. This research compares two studies, which evaluated adoption/implementation LHC in Finland and Mexico, understand how cultural similarities/differences influence implementations. Data were gathered from previous questionnaire-based studies administered healthcare professionals both countries. Statistics (X2, p, Wilcoxon tests) are used compare across topics related adoption, introduction,...

In this paper, the unrelated parallel machine scheduling problem with objective of minimizing total tardiness is addressed. For such a problem, mixed-integer linear programming (MILP) formulation, that considers assignment and positional variables, presented. addition, an iterated local search (ILS) algorithm produces high-quality solutions in reasonable times proposed for higher size instances. The ILS robustness was determined by comparing its performance results provided MILP. instances...

Abstract Integrating location and routing into a unified decision‐making framework offers more comprehensive reflection of real‐world scenarios where different facility layouts directly influence plans. Consequently, addressing the issue holistically becomes imperative, especially when considering service level metrics like customer waiting times. In this paper, we address latency problem with opening costs split deliveries (LLRP‐OCSD). This complex involves optimizing design supply chain...

This paper addresses the multi-product, multi-period capacitated lot sizing problem. In particular, this work determines optimal size allowing for shortages (imposed by budget restrictions), but with a penalty cost. The developed models are well suited to usually rather inflexible production resources found in retail industries. Two proposed based on mixed-integer formulations: (i) one that allows shortage and (ii) forces fulfilling demand. Both implemented over test instances case study of...