one of the main challenges for manufacturers in production systems on order is balancing between orders, inputs and limited resources. hence, they have to choose some orders and reject the others. in addition, work schedule must be considered in order acceptance. in this research the integrated problem of scheduling and order acceptance in a no wait flexible flow line production system is discu...

Objective(s)Staphylococcus aureus is a prevalent pathogen worldwide. Methicillin resistant S. aureus (MRSA), which is usually multi-resistant in hospitals, has been a daunting challenge for clinicians for more than half a century. The aim of this systematic review and meta-analysis is to determine the relative frequency (RF) of MRSA in different regions of Iran.Materials and MethodsSearch terms...

Nowadays, the capability of cloud management suppliers is one of the important advantages for suppliers that can improve the performance and flexibility and reduce costs in companies through easy access to resources. Also, the environmental impacts of suppliers are a significant issue in today’s industrialization and globalization world. This paper analyzes these subjects by fuzzy multi-objecti...

Our objective was to perform a series of meta-analyses evaluate the effects diets supplemented with saturated free fatty acid (FA) supplements (SFAA) compared nonfat control (CON) on nutrient digestibility and production responses lactating dairy cows determine whether experimental design affects SFFA. We divided SFFA into C16:0-enriched (PALM, FA ≥80% C16:0) C16:0+C18:0-enriched (MIX, C16:0+C1...

this paper presents a new mathematical model for a hybrid flow shop scheduling problem with multiprocessor tasks in which sequence dependent set up times and preemption are considered. the objective is to minimize the weighted sum of makespan and maximum tardiness. three meta-heuristic methods based on genetic algorithm (ga), imperialist competitive algorithm (ica) and a hybrid approach of ga a...

The most recent approaches of multi-objective optimization constitute application of meta-heuristic algorithms for which, parameter tuning is still a challenge. The present work hybridizes swarm intelligence with fuzzy operators to extend crisp values of the main control parameters into especial fuzzy sets that are constructed based on a number of prescribed facts. Such parameter-less particle ...

BACKGROUND Industry commissions contracting companies to perform network meta-analysis for health technology assessment (HTA) and reimbursement submissions. Our objective was to estimate the number of network meta-analyses performed by consulting companies contracted by industry, to assess whether they were published, and to explore reasons for non-publication. METHODS We searched MEDLINE for...

As exact algorithms are unfeasible to solve real optimization problems, due their computational complexity, meta-heuristics usually used them. However, choosing a meta-heuristic particular problem is non-trivial task, and often requires time-consuming trial error process. Hyper-heuristics, which heuristics choose heuristics, have been proposed as means both simplify improve algorithm selection ...