Babak Shirazi

• Associate Professor of Industrial and Systems Engineering
• Professor (Associate) at Mazandaran University of Science and Technology

The smart manufacturing in the context of a smart factory is allowed through different uncertain processes which make big challenges. In this case, smart manufacturing should be applied reliably, interoperable, and consistently. Thus, it faces the requirement for orchestrating services provided by uncertain processes to satisfy the challenges. Thes...

The development of a new product is an essential factor in changing the structure of supply chains. This paper proposes a sustainable closed-loop supply chain network with the possibility of new product development. Using a robust fuzzy optimisation model, the objectives are maximising profits, maximising the number of created jobs, and maximising...

Cyber-Physical Production Systems (CPPSs) as distributed Systems of Systems (SoS) are at the center of attention from different industries. CPPSs face different categories of errors. These errors will cause failures of the entire production chain. To handle this concern, production systems should be converted into fault-tolerant production systems....

Designing a sustainable supply chain network is of importance in terms of economic, environmental and social aspects of different sectors of society. This can also be followed in the lighting industry while developing a new product. This study mainly aims to solve a multi-objective dual-channel closed-loop supply chain, considering the uncertain na...

The healthcare industry is more challenging and the super‐process interoperability should be planned in order to architecture an informational technology structure of the required data for progression of care. Large‐scale enterprises could be provided cross‐organization super‐processes operations. Therefore, each enterprise's business process manag...

This paper develops a scalable method for the Resource-Constrained Project Scheduling Problem (RCPSP) with a type-2 fuzzy uncertain activity time-span. The objective of this method is the project completion time minimization. This problem has been solved through a scalable type-2 fuzzy Dijkstra algorithm inside different activities rules. The Dijks...

As a new production procedure Additive Manufacturing will present a time-effective production system when adopted in distributed 3D printing mode. In this case, the distributed manufacturing leads to different challenges such as control between production sites. Based on the cloud infrastructure usage for distributed production systems, the product...

Green products are increasingly considered by companies, owing to the significant attention of government regulations, customers’ requests and competitors. Here, we deal with Green Product Families (GPFs) by selecting green components, modules and products which are produced based on the assembling to order (ATO) approach to cover diverse customer...

This article deals with product Family: a group of products with similar modules produced based on assembling to order (ATO) approach to cover diverse customer needs. The demand level and the customer requirements of these products are dynamically changing, which necessitate a novel model for co-reconfiguration of the product family (PF) and the su...

With increasing environmental pollution in recent years, researchers have focused on designing a closed loop supply chain network with consideration of environmental issues. In this research an uncertain bi-objective, multi-period, multi-product and multi-level closed-loop supply chain network is presented. Uncertainty in demand, transportation cos...

Over the past half century, in order to increase the country's productive capacity; relying on natural resources, a wide range of technology transfer has been realized in the steel industry. Although their main goal was to increase production capacity, but also they had important achievements in technology upgrades and development. A historical rev...

In recent years, with increasing demand for fossil fuels, greenhouse gas emissions, acid rains, and air pollution have increased. These issues have encouraged industries to replace the existing fossil fuel system by the hydrogen energy system which is a clean energy carrier. Replacing hydrogen in the future energy systems needs a dynamic and flexib...

An uncertain Business Process Management System (BPMS) capability is Business Processes (BPs) management in the presence of uncertain factors. This ability should be defined by different uncertain computer-based components inside the classic BPMSs operations. This study proposed autonomous and combinatorial optimal process management architecture t...

Due to the competitive nature of the market and the various products production requirements with short life cycles, cellular manufacturing systems have found a special role in manufacturing environments. Creativity and innovation in products are the results of the mental effort of the workforces in addition to machinery and parts allocation. Assig...

There are many processes in the business world which dependent on Critical Infrastructure Systems (CISs) to provide important services. Hence, the undesirable behaviors of these processes can provide cascading disturbances and might cause high impacts on criticality infrastructure in Automatic Closed-Loop Supply Chain (A-CLSC). Thus, this level of...

The present study proposes a simulation-based model of high degree flexible routing to prevent collisions and deadlocks in flexible manufacturing systems (FMSs). High degree flexible routing concurrently involves classical routing strategies (specifies the destination and static/dynamic routing between origin and destination) with routing flexibili...

Subcontracting and Partnership Exchanges (SPXs) have been developed to increase networking among Small and Medium Enterprises (SMEs) and large enterprises. SPXs provide technical information centers, advanced mechanisms and matchmaking between main contractors, suppliers and subcontractors. In general, Enterprise Resource Planning (ERP) and Manufac...

This paper considers uniform parallel machines scheduling problem with time-dependent learning effects, release dates, allowable preemption and machine idle time to minimise the total weighted earliness and tardiness penalties which is known to be strongly NP-hard. To solve this problem, this research proposes a mixed integer nonlinear programming...

In this study a multi-objective problem considering uncertainty and flexibility of job sequence in an automated flexible job shop (AFJS) is considered using manufacturing simulation. The AFJS production system is considered as a complex problem due to automatic elements requiring planning and optimization. Several solution approaches are proposed l...

This paper presents a new multi-period, bi-objective inventory routing problem model with stochastic demand in two echelon network supply chain including some suppliers with several vehicles to satisfy customers' demands. Reducing the number of vehicles is also considered when each vehicle belongs to one route. The difference between this paper and...

This paper presents a new multi-period, bi-objective inventory routing problem model with stochastic demand in two echelon network supply chain including some suppliers with several vehicles to satisfy customers’ demands. Reducing the number of vehicles is also considered when each vehicle belongs to one route. The difference between this paper and...

Modern organizations require a proper model such as supply chain management in order to achieve competitive advantage. Supply chain management seeks to adopt strategies for achieving the established targets of the chain, therefor a series of interconnected production and distribution processes are conducted comprising all parts along the chain requ...

Although discrete event simulation models are known as classic cost-effective tools for analysis of healthcare systems, they are barely suited to represent a strategic level of emergency department (ED). This study applies discrete-event simulation combined with the system dynamics approach to present a comprehensive integrated safety simulation in...

Analyzing technologies relationships can provide insight into technological strategies and maximizing the profits. Patents are integral parts of intellectual property rights and include significant information about developed technologies. Due to the increasing amount of patents, data mining method is proposed for patent analysis. Thus, weighted as...

Due to the high speed of relocation, air transportation has particular importance for the development of socio-economic systems of each region or country. The wide area of Iran in order to the geographical characteristics and economic growth speed has the high potential for the expansion of air transport. The main purpose of this paper is to the fu...

Nowadays, uncertainty is widely discussed as serious a challenge against business decision-making. The current business process management systems (BPMSs) are only able to manage certain processes, where there is practically a huge gap between what is expected and what is realized due to uncertainty. This study developed an extended BPMS prototype...

Intrusion detection systems (IDSs) has been considered as the main component of a safe network. One of the problems of these security systems is false alarm report of intrusion to the network and intrusion detection accuracy that happens due to the high volume of network data. This paper proposes a new reliable hybrid method for an anomaly network-...

This study considers customer demands and production capacity to investigate sale process. The aim is to find selling gap being the difference between sold products and the capacity of selling capability of the production system. Customers' opinions over various attributes of products reflect defects and drawbacks of the production and service. Her...

With the manufacturer with mass customization paradigm extending its scope into global manufacturing network, module-based product family configuration and supply chain design should be simultaneously considered. In order of globally distributed supply chain network the green houses gas especially carbon dioxide emission are increased and should be...

This paper deals with the difficult problem of joint product family and supply chain design. We present a conceptual framework that simultaneously considers the construction of the bill of materials and the design of the supply chain network. For the bill of materials, product, module and component are considered. For the supply chain network, suppl...

Distributed enterprise resources planning (ERP) can be customized to the specific requirements of each segment in networked structures for upgrading the small & medium enterprises' (SMEs) value chain. Because the implementation and control processes of distributed ERP systems are challenging in enterprises having limited resources, this study propo...

Resource planning in large-scale construction projects has been a complicated management issue requiring mechanisms to facilitate decision making for managers. In the present study, a computer-aided simulation model is developed based on concurrent control of resources and revenue/expenditure. The proposed method responds to the demand of resource...

Service orientation is an approach in the field of enterprise architecture, business information systems and software application that its main element is the service. Shared services is an organization model of sharing, across an organization. It enables collaboration among the functions/departments. Main motivations for shared services are sharin...

Nowadays, the necessity of manufacturers’ response to their customers’ needs and their fields of activities have extended widely. The cellular manufacturing systems have adopted reduced costs from mass-production systems and high flexibility from job-shop manufacturing systems, and therefore, they are very popular in modern manufacturing environmen...

One of the substantial concerns in any large scale enterprises is the process of evaluating, selecting and improving suppliers due to the involvement of many uncontrollable and unavoidable factors. To address this issue in industry, suppliers are selected in the context of a resilient supply chain since it is one way to overcome disruptions. Select...

Power smart grid is a new concept to solve the basic problems of the current power network with higher reliability and safety, self-healing, the ability to support renewable energy sources and reducing environmental impacts. Novelty and necessity of power smart grid knowledge have shown that utilization and acquisition of these technologies need a...

In recent years, the pulp and paper industry has changed a lot and products have been constructed in quite different methods using new technologies. It can be due to the emergence of challenges and constraints such as shortage of raw materials, energy consumption (fossil fuels, electric, etc.), management of the resulting pollutants, environmental...

Healthcare systems engineering in emergency departments (EDs) are developing rapidly in the world nowadays. Fast track (FT) as a rapid treatment system is considered to facilitate ED patient flow. To know how FT can improve the performance of ED, one should study the best configuration of resources for implementation of FT. This research presents a...

We formulate the transportation discrete network design problem (DNDP) as a mixed-integer bi-level mathematical problem, based on the concept reserve capacity. The upper level goal programme maximises the reserve capacity by designing the direction of street and increasing the street capacity through lane addition. The lower level problem is stocha...

We formulate the transportation discrete network design problem (DNDP) as a mixed-integer bi-level mathematical problem, based on the concept reserve capacity. The upper level goal programme maximises the reserve capacity by designing the direction of street and increasing the street capacity through lane addition. The lower level problem is st...

In recent years, with the enterprise resource planning (ERP) systems production for small and medium enterprise (SMEs), the demand has increased due to ERP implementation in SMEs. These systems are one of the latest information technologies which can help SMEs to overcome their limitations. However, due to the limited resources in small and medium...

One of the substantial problems in large scale enterprises is lack of the integrity of the operational systems. The information flow among different departments is aiming at integrating data, applications and business processes in an organizational platform. In this research, the authors propose to design a process of decision support system for th...

Integration voice of customer into new product development (NPD) process is an important factor that creates more customer satisfaction. Quality function deployment (QFD) is widely used to capture customer requirements (CRs) which are real by focusing on customers' needs. It helps organizations to translate CRs to the major design requirements (DRs...

In this paper, a framework is developed to manage knowledge sharing on enterprise resources. Enterprise resources are the key elements to progress business objectives. We propose a switch mechanism to handle knowledge sharing in a business. To integrate value chain in a business comprehensive data flow is significant where knowledge sharing is a st...

Knowledge and organizational knowledge are considered as a permanent asset and wealth on modern works. This is especially emphasized in organizations and modern organizations which are considered as virtual organizations in virtual spaces. One of the issuable subjects in cooperation networks and inter organizational coworkers is about virtual space...

Link prediction is a new interdisciplinary research direction in social network analysis (SNA) which, existing links are analyzed and future links are predicted among millions of users of social network. There are various prediction models including k-nearest neighbor (kNN), fuzzy inference, SVMs, Bayesian model, Markov model and others. In this pa...

Knowledge has a strategic role in the modern organizations, so the identification, acquisition and knowledge management have become a competitive advantage for organizations. In addition, the success of a business is dependent on its successful Business Process Management, hence using of Knowledge Management Systems and Business Process Management...

In this paper, a multi-layer reverse supply chain is considered and modeled with respect to the defects happen to the returned items mathematically. The objective of the mathematical model is to maximize the profit under the mechanism of interactive pricing form both producer and costumer sides. During the process of producing a product and getting...

One way for enterprises to be successful in today’s challenging market is to be agile and be flexible to handle market changes. Using a conceptual and operational framework for improving the enterprise and keeping their desired situation is always required. In this paper, a service oriented decision support system-based framework is proposed. The f...

We adapt a dynamic program to find the shortest path in a network having normal probability distributions as arc lengths. Two operators of sum and comparison need to be adapted for the proposed dynamic program. Convolution approach is used to sum two normal probability distributions being employed in the dynamic program. Generally, stochastic short...

Nowadays, information systems and applications in large organizations have a determined role in strategy management, decision making, resource management, optimal performance of the organization and etc, It is also the result of C4I systems employing multiple technologies, storage systems and data processing, data transfer, and etc, To the right de...

In most of the flow shop scheduling problem studies, the processing times of jobs are considered constant and deterministic. These assumptions obviously suggest a significant gap between theory and real-world production problems. In this study, the problem of flow shop scheduling with linear job deterioration is addressed. This problem is investiga...

One of the most important issues in the current e-learning systems, is lack of attention to university entrepreneurship topics. This article offers a strategic framework for designing e-learning system with focus on university entrepreneurship. The main goal is strategic conformity of e-learning and university entrepreneurship. In this regard, in a...

Flexible manufacturing system (FMS) is described as a set of computerised numerical controlled machines, input–output buffers interconnected by automated material handling devices. This paper develops a bi-objective operation allocation and material handling equipment selection problem in FMS with the aim of minimising the machine operation, materi...

Supplier selection has become an important part of supply chain management, which has, as one of its principal goals, the cultivation of long-term relationships with a few reliable suppliers. The ‘process of elimination’ that is often currently used for the achieving of this goal involves criteria so various and so voluminous as to be detrimentally...

We describe an intelligent co-simulator for real time production control of a complex flexible manufacturing system (CFMS) having machine and tool flexibility. The manufacturing processes associated with the CFMS are complicated with each operation being possibly done by several machining centers. The co-simulator design approach is built upon the...

First published on: 11 February 2011 To cite this Article Mahdavi, Iraj , Shirazi, Babak and Sahebjamnia, Navid(2011) 'Development of a simulation-based optimisation for controlling operation allocation and material handling equipment selection in FMS Full terms and conditions of use: http://www.informaworld.com/terms-and-conditions-of-access.pdf T...

This paper describes an intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS). The controller is capable of classifying symptoms in developing the control policies on FMSs with flexibility in operation assignment and scheduling of multi-purpose machining centres which have different tools with the...

In this paper, the single machine scheduling problem for a common due date with arbitrary earliness/tardiness penalties is discussed. The objective is to determine the common due date and processing sequence of new jobs together with the re-sequencing of old jobs to minimize the sum of total earliness/tardiness (E/T), completion time, and due date...

This paper describes a simulation-based decision support system (DSS) to production control of a stochastic flexible job shop (SFJS) manufacturing system. The controller design approach is built around the theory of supervisory control based on discrete-event simulation with an event–condition–action (ECA) real-time rule-based system. The proposed...

Effective design of automatic material handling devices is one of the most important decisions in flexible cellular manufacturing systems. Minimization of material handling operations could lead to optimization of overall operational costs. An automated guided vehicle (AGV) is a driverless vehicle used for the transportation of materials within a p...

The aim of this study is to review the architecture of simulation-based Intelligent Decision Support Systems (IDSS) for real time control of a Flexible Manufacturing System (FMS). The study considers flexibility in operation assignment and scheduling of multi-purpose machining centers, which have different tools with their own efficiency. The study...

This paper describes a simulation-based intelligent decision support system (IDSS) for real time control of a flexible manufacturing system (FMS) with machine and tool flexibility. The manufacturing processes involved in FMS are complicated since each operation may be done by several machining centers. The system design approach is built around the...

Minimising the total delay in the procurement of materials is one of the most important objectives in the production management of a manufacturing shop with multi-assembly products. This criterion is affected by the lot sizes of the materials used in the assembly of final products. Therefore, the optimum production lot size of products should be de...

In this study, an assessment method is designed based on real-time simulators. These simulators will be able to facilitate education and play the role of virtual intelligent teacher referring to student capabilities by following the feedback mechanisms. This system, which is constructed by the means of network and expert system, is contained a real...

This study compared traditional system with virtual educational system statistically in Iran. In recent years e-learning has become a process which is changing the educational system from traditional to collaborative web-based activities in the widespread borderless world. For overcoming remoteness, distance learning and for prevailing time problem...

In this study, a mathematical model is proposed for facilities relocation problem in supply chain. Facilities` location in supply chain is one of the fundamental and strategic decisions of supply chain management. As location models in supply chain take in to account more factors simultaneously, they are commonly more complicated than traditional l...

In a distributed manufacturing shop (DMS), factories of various levels of manufacturing capabilities are equipped with diverse types of machines and tools and are scattered around many geographically different locations. Because of such geographical diversity, the quality control of sub-assemble products (SAP) is of great importance to ensure a hig...

Internet technology enables companies to capture new customers, track their performances and online behavior, and customize communications, products, services, and prices. Analyses of customers and customer interactions for electronic customer relationship management (e-CRM) can be performed by way of using data mining (DM), optimization methods, o...

Petri net is used widely to analyze and model various systems formally. Recently, Many Petri nets mania devote their efforts to enhancing and extending the expressive Power of Petri nets. One such effort is to extend Petri nets with object-oriented concepts. An object-oriented paradigm provides excellent concepts to model real-world problems. Objec...

In today's competitive manufacturing systems, it is crucial to respond quickly to the demand of customers and to decrease total cost of production. To achieve higher performance of automated assembling shop, it is needed to utilize methods to minimize production cycle time (makespan) and work-in-process (WIP) in buffers. This paper intends to focus...

Effective design of material handling devices is one of the most important decisions in cellular manufacturing system. Minimization of material handling operations could lead to optimization of overall operational costs. An automated guided vehicle (AGV) is a driverless vehicle used for the transportation of materials within a production plant part...

Cellular manufacturing is a successful application of group technology (GT) concepts. The aim of a cellular manufacturing system (CMS) is to identify similar manufacturing processes and features where machines are grouped into machine cells based on their contributions to the production process. In the last three decades of research in cell formati...

In today's competitive manufacturing systems it is critical to be responding quickly to the demands of customers and decreasing total cost of production. Long cycle times are associated with higher costs of work in process (WIP), increased demand forecasting errors, and lower yields due to slower control feedback. Automated Assembling Shop (AAS) is...

Design of experiments is a systematic approach that can be used to analyze the effects of input variable variations on the response variables. DOE is about analyzing the Sensitivity of process parameters with focusing on Process mean and minimizing the process variation using factorial design & orthogonal array method. In this paper we discus about...

Cell formation problem in Cellular Manufacturing System (CMS) design has derived the attention of the researchers for more than three decades. However, use of sequence data for cell formation has been a least researched area. Sequence data provides valuable information about the flow patterns of various jobs in a manufacturing system. This paper pr...

Internet technology enables companies to capture new customers, track their performances and online behavior, and customize communications, products, services, and price. The analysis of customers and customer interactions for electronic customer relationship management (e-CRM) can be performed by data-mining (DM), optimization methods, or combined...

Advanced manufacturing systems need to be developed for an enterprise to survive in the increasingly competitive global market. Statistical e-based quality control approach combines statistical quality analyses and reporting capabilities with web technology to deliver process optimization solutions. In this paper we develop a mathematical structure...

Advanced manufacturing systems need to be developed for an enterprise to survive in the increasingly competitive global market. Statistical e-based quality control approach combines statistical quality analysis and reporting capabilities with web technology to deliver process optimization solutions. In this paper we develop a structured profile for...

One of the most important problems in cellular manufacturing system (CMS) is to design material handling system that could be lead to reducing production cost. A tandem automated guided vehicle (TAGV) is used to handling the material in CMS, where the shop is divided to non-overlapping closed zones workstation. TAGV is generally used to transfer th...

In recent years there has been an increasing interest for education through the network. It is developed by using information technology and distance learning techniques. In ideal situation, students should be educated globally and collaborate within teams that are geographically distributed. An educational supporting system that constructs a paral...

In some situations, MADM matrix is not distinguished completely at the first stage of decision making, because of the complexity of environment. These complexities lead to incomplete cognition and non-optimal decision making. In such "semi-structured" environment, due to its high degree of complexity, the whole environment is not identifiable for D...

This book was written by one of my colleagues,Farzad Pargar under supervision of Dr. Babak Shirazi. I am honored for contributing in some chapters of this book.