Predictive Manufacturing Tardiness Inference in OEM Milk-Run Operations

Author(s):  
Antônio G. N. Novaes ◽  
Orlando F. Lima ◽  
José Eduardo Souza De Cursi ◽  
Jaime Andres Cardona Arias ◽  
José Benedito Silva Santos
Keyword(s):  
Author(s):  
A. D. Wara

The Government of Indonesia plans to build 9 gas power plants in South Kalimantan, South Sulawesi and Southeast Nusa Tenggara with a total power capacity of 780 MW with an estimated actual gas demand of 46.56 MMSCFD which are planned to be supplied by the Bontang terminal, DS-LNG, Masela LNG, and Tangguh LNG. LNG-C logistics optimization is needed to get the best transportation scenario regarding the eastern region which consists of scattered islands and inadequate infrastructure. This study analyzes and evaluates the best-case scenarios by comparing the time and cost variables. The process of planning the supply chain starts from determining the upstream-downstream distribution scheme and then calculates the shipping distance which results in the determination of the quantity, capacity and shipping of the LNG-C. Based on the analysis and calculation of the logistics, it is concluded that there are 3 divisions of clusters of Kalimantan-Sulawesi, NTT and NTB having estimated needs in a row of 18.06, 18.8, and 9.7 MMSCFD with the Milk-Run transportation method. Logistics optimization results show that scenario 1 has an efficiency value of 87% with an LNG-C transport capacity of 0.35 MMSCF, a roundtrip cruise time of 8.6 days and the number of shipments is 36 / year. The detailed analysis of costs in scenario A is 1-2 USD / MMBTU for the milk and run transportation method, 1.49-1.73 USD / MBTU for LNG-C transport costs, and regasification costs which are 1.0-3.7 USD / MMBTU. Based on the above results it can be calculated that the price of gas in the first year of implementation was 13.4 USD / MMBTU, so the total value below this supply chain was Rp.8,812,876,800.00. Therefore, this idea was created as a solution for the initial steps for the utilization of the domestic natural gas distribution


2017 ◽  
Vol 07 (04) ◽  
pp. 152-163
Author(s):  
安全 邹
Keyword(s):  

2020 ◽  
Vol Vol. 36 (No. 2) ◽  
pp. 49-57
Author(s):  
István Vajna ◽  
Anita Tangl

The case study shows the re-optimization of an initial new factory layout design with Value Stream Design (VSD). The VSD is a quantitative method and its’ final goal is to make a waste free optimized material flow. The primary goal of arrangement is to reduce transportation distances and frequencies, optimize human load. Initially the whole factory shop floor layout design was already made in push concept. The plans were made by production management, logistics, engineering department at the headquarter of the multinational automotive company with based on VDI2870 holistic concept linking strategy on tactics and operation. On the layout (v1.) the hundreds of machines were placed and arranged by CAD (Computer Design) engineers to fit the space. The factory building has 15,000 m2 with empty shop floor waiting for the final decisions for equipment. The factory production area was shared into six main production areas (P1-P6), which correlates with their product complexity of the product families. Each production area output can be finished product (FP) or semi-finished product (SFP) for the next production areas. To validate the whole factory layout it was necessary to involve lean experts that identified disadvantages and constraints. Without lean implementation the company’s transportation waste would be 49% more per year. The Value Stream Design importance nowadays is upgrading to a higher level, when the whole global business is changed, the labor force fluctuates, and the cost and delivery time reduction plays a vital role in the company’s profit and future. The research shows that if the decision taking is based on real data and facts the controlling and management can do its best in time. Using VSD and re-evaluating the transportation routes, frequency and costs is the first step to define a smooth, low cost, material flow (v2.). This development ensured the company to drive from push to pull production through mixed production system. Originally, the production flow was clockwise orientation. It was changed step by step to mixed production by eliminating work in process storages, implementing FIFO lanes, Milk Run, and Kanban. The total annual transportation distances were reduced from 4,905,000 m between the rump-up and serial production period. The warehouse storage size was reduced to 50% and implementation cost from €75,000 to €32,500. By eliminating work in process storages along production lines it was possible to open a new two way transportation road that also will serve the AGV’s operations in industry 4.0 projects. Due to decreased lead time the logistic labor productivity increased by 45%. Besides taking measurements for the VSD it was used Value Stream Mapping as a lean tool and an own designed VSD evaluation and a simulation software. The VSD team’s cooperative actions reduced the evaluation and validation time with 65% then it was initially planned. The implementations were evaluated from the rump-up phase to the first serial productions and the results were confirmed by controlling and management


2015 ◽  
Vol 2015 ◽  
pp. 1-22 ◽  
Author(s):  
Yu Lin ◽  
Zheyong Bian ◽  
Shujing Sun ◽  
Tianyi Xu

In recent years, logistics systems with multiple suppliers and plants in neighboring regions have been flourishing worldwide. However, high logistics costs remain a problem for such systems due to lack of information sharing and cooperation. This paper proposes an extended mathematical model that minimizes transportation and pipeline inventory costs via the many-to-many Milk-run routing mode. Because the problem is NP hard, a two-stage heuristic algorithm is developed by comprehensively considering its characteristics. More specifically, an initial satisfactory solution is generated in the first stage through a greedy heuristic algorithm to minimize the total number of vehicle service nodes and the best insertion heuristic algorithm to determine each vehicle’s route. Then, a simulated annealing algorithm (SA) with limited search scope is used to improve the initial satisfactory solution. Thirty numerical examples are employed to test the proposed algorithms. The experiment results demonstrate the effectiveness of this algorithm. Further, the superiority of the many-to-many transportation mode over other modes is demonstrated via two case studies.


Author(s):  
Antonio G. N. Novaes ◽  
Orlando F. Lima ◽  
Monica M. M. Luna ◽  
Edson T. Bez
Keyword(s):  

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