International Journal of Industrial Engineering & Production Research

Highlights:

1-formulate of problem of multi-objective supplier selection problem in SCM considering coverage from supplier’s       side.

2- Price discount for products by suppliers which are calculated using signal function.

3- supplier's weights in the fifth objective function are obtained using fuzzy TOPSIS technique.

4-delay and wastes from supplier side are considered as fuzzy parameters and produced as fuzzy random parameters.

Highlights

1. the concept of city logistics has rarely been connected with social goals, especially urban crises and delivery of emergency goods.

2. this study modeled a city logistics distribution network with the aim of minimizing response time.

3. the aim of minimizing response time is optimal and may be efficient for emergency goods and services, especially at the time of crisis, as well as goods which require minimum delivery time.

4. Fixing the intra-city flow of goods by establishing distribution centers is a well-known and useful method.

Queueing theory can be used in analyzing the performance of time-dependent systems.

Highlights

• Presenting a fuzzy mathematical model for the single-item capacitated lot-sizing problem.

• Choosing the possibility approach to convert the fuzzy mathematical model to crisp mathematical model.

• Proposing a vibration damping optimization algorithm to solve the crisp mathematical model.

• Comparing the VDO algorithm with the results of genetic algorithm (GA) and simulated annealing (SA) algorithm.

Applying Taguchi method for parameter setting.

• Highlights:

• Demonstrating the effectiveness of the proposed approach by the real case study.

• Providing a relation between risk and score by using the FMEA and fuzzy MOORA for sustainable supplier selection.
• Developing a mixed-integer leaner programming model to select suppliers and assign an optimum quantity of each item.

highlights:

1. Developing a new mixed integer linear programming model for hybrid flow shop scheduling problem with unrelated parallel machines

2. Propose a new stage-based lower bound based on Kurz-Askin lower bound for the research problem

3.  Developing a new bottleneck based heuristic with local search for the hybrid flow shop scheduling problem with unrelated parallel machine

Highlights:

• Text summarization, using metaheuristic Biogeography-Based Optimization (BBO) algorithm with a focus on extractive features of texts.
• Implementation of Biogeography-Based Optimization (BBO) on standard 100,200,400 -word documents DUC2002. 
• Comparison of the proposed method with other methods indicates that evaluation of precision, recall, and score show more improvement than those in the GA, PSO, BFOA  methods.

Highlights

• A multi-objective model for identifying seed customers in social networks is proposed.
• The exact model is a tradeoff between diffusion speed and dispersion cost.
• Influence propagation is modeled as a multi-period process.