scholarly journals Supply Chain Management Untuk Agen Game RTS Menggunakan Hierarchical Finite State Machine

2017 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Dihin Muriyatmoko

Real Time Strategy is one of the genres in computer games that have a characteristic form of war. The attractive and preferably game usually approach to the real world. Generally on RTS games do not have food distribution that makes the game less humane. On other models troops was returning from war, need to takes recovered, but when the condition that the player wants to war again, the energy not fully recovered, so need a method that the food supply target is precise. This experiment using Hierarchical Finite State Machine to design the behavior ofagents and refers to the scheme of supply chain management so that the behavior approach to the real world. Placement agent location coordinates using a scheme of supply chain approach to gravity location coordinates of the model in order to produce an optimal position so that the time and costs in the food distribution can be minimized. The results show the average percentage cost and time savings for 52.97% and 48.47%.Keywords: Supply Chain Management, HFSM, RTS Game AbstrakReal Time Strategy merupakan salah satu genre dalam permainan komputer yang memiliki ciri khas berupa permainan perang. Permainan yang menarik dan disukai biasanya hampir mendekati dunia nyata manusia. Umumnya pada game yang ada, tidak memiliki distribusi makanan, sehingga menjadikan game kurang manusiawi. Pada model lain pasukan yang kembali dari perang, membutuhkan waktu agar pulih, namun ketika kondisi dimana pemain ingin kembali berperang, energi pasukan belum sepenuhnya pulih, karena itu dibutuhkan suatu metode agar pasokan makanan bisa tepat sasaran. Percobaan ini menggunakan metode Hierarchical Finite State Machine untuk mendesain perilaku agen game RTS dan mengacu pada skema supply chain management agar perilaku agen dalam mendistribusikan makanan mendekati dunia nyata. Penempatan lokasi koordinat agen dirancang mengacu pada skema supply chain dengan pendekatan gravity location model agar menghasilkan posisi koordinat yang optimal sehingga waktu dan biaya dalam distribusi makanan bisa diminimalkan. Hasil pengujian menunjukkan rata-rata penghematan biaya dan waktu masing – masing 52.97% dan 48.47 %.Kata kunci: Supply Chain Management, HFSM, RTS Game

2018 ◽  
Author(s):  
Dihin Muriyatmoko

Finite state machines have becomeextremely popular over the last decade and helpedgame developers build some pretty fun RTS games[1]. Finite State Machines have been widely used asa tool for developing RTS games, especially aspertains to solving problems related to AI, inputhandling, and game progression [2]. Anyhow, tocontrol game play and user interface for SupplyChain Management (SCM) of Food on RTS gameonly played conventional finite state machine(FSM) design. Therefore in this research isdeveloped Food SCM using Hierarchical StateFinite Machine (HFSM).HFSM allow for a modulardevelopment of states that is more maintainable andscalable[3]. The formalism of HFSM makes thestate machine approach truly applicable to real-lifeembedded systems [4].


Author(s):  
Ibibia K. Dabipi ◽  
Judy A. Perkins ◽  
Tierney Moore

Over the years the supply chain industry has been transforming to improve the end-to-end (production to delivery) process. Supply chain management (SCM) allows various industries to oversee and better handle how their product is manufactured and delivered. It allows them to track and identify the location of the product and to be more efficient in delivery. Integrating total asset visibility (TAV) technology into the supply chain structure can provide excellent visibility of a product. This kind of visibility complemented with various packaging schemes can assist in accommodating optimization strategies for visualizing the movement of a product throughout the entire supply chain pipeline. The chapter will define SCM, discuss TAV, review how transportation as well as optimization impacts SCM and TAV, and examine the role of packaging in the context of SCM and TAV.


Author(s):  
Reza Aboutalebi

In this study, after analyzing hundreds of papers and books by using a meta-analysis technique, it was revealed that supply chain management suffers from a lack of strategies for many aspects of real-world supply chain activity. Existing supply-related strategies are very primitive and incomplete. Real-world activities in modern supply chains are complicated and multidimensional; consequently, supply chain strategies should reflect and manage these realities. This study aims to reduce the existing shortcomings in current supply chain strategies by proposing the taxonomy of supply chain strategies.


Author(s):  
Reza Aboutalebi

In this study, after analyzing hundreds of papers and books by using a meta-analysis technique, it was revealed that supply chain management suffers from a lack of strategies for many aspects of real-world supply chain activity. Existing supply-related strategies are very primitive and incomplete. Real-world activities in modern supply chains are complicated and multidimensional; consequently, supply chain strategies should reflect and manage these realities. This study aims to reduce the existing shortcomings in current supply chain strategies by proposing the taxonomy of supply chain strategies.


Author(s):  
Krishnamurty Muralidhar ◽  
Rathindra Sarathy

Simulation is often used as a tool to analyze and understand complex systems in supply chain management research. Supply chains involve complex relationships between different variables. Hence, it is necessary to simulate related non-normal distributions to simulate these systems. The simulation of related normal distributions is relatively easy and can be found in most simulation texts. However, when the marginal distributions under investigation do not have a normal distribution, it becomes very difficult to generate values from these related distributions. In this study, the authors illustrate a method based on copulas that allows for the generation of related distributions with arbitrary marginals. The procedure suggested in this study is simple and easy to implement. Using this procedure will enable researchers in supply chain management to more effectively simulate complex real-world scenarios resulting in better analysis and understanding of supply chains.


2012 ◽  
Vol 433-440 ◽  
pp. 4669-4674
Author(s):  
Guo Sheng Xu

In order to improve the real-time and flexible of FIR digital filter, a reconfigurable FIR filter system based on FPGA is designed. According to the filter specialties, the filter coefficients are calculated by the computer. And the configured coefficients of the multistage FIR filter are downloaded to the chip. The filtering computing is completed by the FPGA. The filtered data is transmitted to the computer through the USB2.0 interface for further processing, such as displaying, analyzing and storing. The states conversion between coefficients configuring mode and filtering mode is finished by FSM (Finite State Machine), which ensures the system to work orderly. The experimental results demonstrated that the coefficients configuring of the system is easy, which can adjust the filter coefficients flexibly according to the actual demand, and the filter is effective,that it can effectively filter out the noise signals.


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