Browsing by Author "Saparauskas, Jonas"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
- ItemAn attempt to resolve no-wait flow shop scheduling problems using hybrid ant colony and whale optimization algorithms(Technická Univerzita v Liberci, ) Rostamzadeh, Reza; Gholipour, Arezou; Komari Alaei, Mohammad Reza; Zavadskas, Edmundas Kazimieras; Saparauskas, Jonas; Ekonomická fakultaThe incentive for many developments and scientific progresses within the field of scheduling has emerged from industrial environments, and naturally, it could be utilized in expressing the scheduling concepts regarding terms used in the industry. Generally speaking, scheduling problems are known as limited optimization issues through which decisions related to the machines’ assignment and works processing sequence are probed. Thus, following a review of the related literature, the major goal of this research is to design a mathematical model and to solve it through a meta-heuristic for no-wait flow shop scheduling problem using different machines for the purpose of minimizing the time required to complete the work using whale and ant colony optimization (ACO) algorithms in Sanat-Gostar-e-Hamgam Shoe Company. The ACO and whale algorithm methods are used to compare and predict scheduling activities in manufacturing line of shoe industry. The results showed an ACO algorithm with two stages in mean ideal distance (MID) end amounting to 76.65 and 77.38, respectively. Also, regarding the amounts of standard error mean squares, it could be claimed that the model designed using the improved whale algorithm has a better prediction, and the minimum time required to complete works using the whale algorithm is estimated to be equal to 86.1071. This could lead to an optimal state in achieving the predetermined goals.
- ItemInternet of things and its challenges in supply chain management; a rough strength-relation analysis method(Technická Univerzita v Liberci, 2018-06-28) Pishdar, Mahsa; Ghasemzadeh, Fatemeh; Antucheviciene, Jurgita; Saparauskas, Jonas; Ekonomická fakultaInternet of Things application (IOT) in supply chain management is becoming imperative and can shape a strategic competitive advantage. Albeit, different challenges appear through this application, most of the previous studies consider less about these challenges and focus on the advantages of IOT. To overcome this defect, different challenges that a supply chain may face as whole are determined based on systematic literature review and expert opinions. Then, a rough group decision-making and trial evaluation laboratory (DEMATEL) is applied. Advantages of the proposed model are that both internal strength and external influence of challenges and also vagueness and ambiguity of experts’ opinions are simultaneously noticed to completely show the importance of these challenges. The results show that challenges such as lack of strategy and scenario planning in IOT, storage issues, lack of security and lack of privacy are of great importance. So, these challenges should have a higher priority in attracting attention and resources. These results help managers to be equipped to face with main challenges in their path toward IOT in their supply chains. Accordingly some practical suggestions for managers are discussed in this paper, such as starting the journey toward IOT step by step, planning for a data storage system which is appropriate for big data, setting up a security policy to prevent out-coming problems caused by lack of security and privacy inherited by IOT, conducting a privacy or security risk assessment, minimizing the data collection and retain and testing the security measures before launching the products, and establishment of a legal framework to construct a problem-solving network in such a messed up and dynamic environment for processing such complicated huge data.