Architecting Fail-Safe Supply Networks

2016 ◽  
Author(s):  
Shabnam Rezapour ◽  
Ramakrishnan S. Srinivasan ◽  
Jeffrey Tew ◽  
Janet K. Allen ◽  
Farrokh Mistree
Keyword(s):  
Service Level ◽  
Level Of Service ◽  
Supply Network ◽  
Flow Dynamic ◽  
Supply Networks ◽  
Uncertainty Sources ◽  
High Magnitude ◽  
Stochastic Events ◽  
Fail Safe ◽  
The Impact

A fail-safe network is one that mitigates the impact of different uncertainty sources and provides the most profitable level of service. This is achieved by having 1) a structurally fail-safe topology against rare but high magnitude stochastic events called disruptions and 2) an operationally fail-safe flow dynamic against frequent but low magnitude stochastic events called variations. A structurally fail-safe network should be robust and resilient against disruptions. Robustness and resilience respectively determine how well and how quickly disruptions are handled by the SN. Flow planning must be reliable in an operationally fail-safe supply network against variations to provide the most profitable service level to customers. We formulate the problem of designing/redesigning fail-safe supply networks as a compromise Decision Support Problem. We analyze the correlations among robustness, resilience, and profit for supply networks and propose a method for supply network managers to use when they need to find a compromise among robustness, resilience, and profit.

scholarly journals The Impact of Transit Oriented Development Apartment Building to Pedestrian's Level of Service in Pondok Cina Station Using Microscopic Modeling

2019 ◽  
Vol 278 ◽  
pp. 05003
Author(s):  
Randy Asad Pradana ◽  
R. Jachrizal Sumabrata
Keyword(s):  
Travel Time ◽  
Positive Impact ◽  
Service Level ◽  
Field Analysis ◽  
Level Of Service ◽  
Transit Oriented Development ◽  
Total Change ◽  
Result Show ◽  
Microscopic Modeling ◽  
The Impact

The construction of the TOD apartment at the Pondok Cina Station will have an impact on the level of service at the venue. This has a positive impact because there is an increase in KRL users, but it also has the potential to cause problems due to the increased volume. This study aims to analyze the impact of TOD station Pondok Cina apartment development on station service level in 2022 condition and find the best solution to improve service level. The station model is created using PTV VISWALK 10. Validation testing is needed to determine the model is acceptable or not by comparing the model results and actual conditions in the field. Analysis of service level using HCM as a reference. There are several models performed, such as the condition of existing year 2018, condition year 2022 without apartment, condition 2022 with apartment, and alternative condition. Alternative conditions of total change in Pondok Cina station. After the simulation, see the performance of all models based on service level and travel time. The result show given the influence of the apartment, if nothing is done then the level of service worsens from LOS B to LOS E while travel time increases drastically from 78 seconds to 429 seconds by 2022.

scholarly journals POTENSI PENGENDALIAN ON STREET PARKING DI RUAS JALAN DAMAR KOTA PADANG

2020 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Angelalia Roza
Keyword(s):  
Service Level ◽  
Degree Of Saturation ◽  
Level Of Service ◽  
High Accumulation ◽  
The Road ◽  
Parking Lot ◽  
Characteristics Analysis ◽  
Parking Management ◽  
Turn Over ◽  
The Impact

The Damar road section is a connecting lane for the Pasar Raya Padang area which starting to face parking problem. The indicator is the disruption of the flow and the high accumulation of parking volume on Jalan Belakang Olo section. These affected to the decrease on the level of the road services (LOS) on Jalan Damar Padang. So, the analysis of LOS, parking characteristics and parking management on Jalan Damar were carried out. The results of the parking characteristics analysis during the three days of observation showed that the average parking duration was 34-35 minutes, the maximum Parking Turn Over was 3.6 vehicles /day/space, and a maximum Parking Index was 84.91 %. The level of service level value indicated that the degree of saturation was 0.51 (DS <0.80) and it categorized to the B level; the flow classified stable with the average travel speeds ≥ 40 km / hr. The results of the traffic volume analysis trends and the volume of parked vehicles are contradictory. This could answer the question why that on parking activities the Jalan Damar did not caused a significant problem. Management of the on street parking through a Parking Meter Machine at this location is recommended. In the initial stage, the results of the parking characteristics analysis and the lay-out of parking lot can be offered. However, the further study will be needed to determined such as the vehicles growth rate and parking tariff to avoid the impact on the Level of Service.  

scholarly journals Robustness of Cyber-Physical Supply Networks in Cascading Failures

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 769
Author(s):  
Dong Mu ◽  
Xiongping Yue ◽  
Huanyu Ren
Keyword(s):  
Load Distribution ◽  
Cascading Failure ◽  
Cascading Failures ◽  
Supply Network ◽  
Supply Networks ◽  
Defense Strategies ◽  
Critical Thresholds ◽  
Network Load ◽  
Physical Node ◽  
Simulation Results

A cyber-physical supply network is composed of an undirected cyber supply network and a directed physical supply network. Such interdependence among firms increases efficiency but creates more vulnerabilities. The adverse effects of any failure can be amplified and propagated throughout the network. This paper aimed at investigating the robustness of the cyber-physical supply network against cascading failures. Considering that the cascading failure is triggered by overloading in the cyber supply network and is provoked by underload in the physical supply network, a realistic cascading model for cyber-physical supply networks is proposed. We conducted a numerical simulation under cyber node and physical node failure with varying parameters. The simulation results demonstrated that there are critical thresholds for both firm’s capacities, which can determine whether capacity expansion is helpful; there is also a cascade window for network load distribution, which can determine the cascading failures occurrence and scale. Our work may be beneficial for developing cascade control and defense strategies in cyber-physical supply networks.

What should be lean buffer threshold for the forward-reserve warehouse?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhavin Shah
Keyword(s):  
Mathematical Model ◽  
Customer Service ◽  
Value Added ◽  
Service Level ◽  
Buffer Size ◽  
Value Stream Mapping ◽  
Content Type ◽  
Customer Service Level ◽  
The Impact ◽  
Just Right

PurposeThe assorted piece-wise retail orders in a cosmetics warehouse are fulfilled through a separate fast-picking area called Forward Buffer (FB). This study determines “just-right” size of FB to ensure desired Customer Service Level (CSL) at least storage wastages. It also investigates the impact of FB capacity and demand variations on FB leanness.Design/methodology/approachA Value Stream Mapping (VSM) tool is applied to analyse the warehouse activities and mathematical model is implemented in MATLAB to quantify the leanness at desired CSL. A comprehensive framework is developed to determine lean FB buffer size for a Retail Distribution Centre (RDC) of a cosmetics industry.FindingsThe CSL increases monotonically; however, the results concerning spent efforts towards CSL improvement gets diminished with raised demand variances. The desired CSL can be achieved at least FB capacity and fewer Storage Waste (SW) as it shifts towards more lean system regime. It is not possible to improve Value Added (VA) time beyond certain constraints and therefore, it is recommended to reduce Non-Value Added (NVA) order processing activities to improve leanness.Research limitations/implicationsThis study determines “just-right” capacity and investigates the impact of buffer and demand variations on leanness. It helps managers to analyse warehouse processes and design customized distribution policies in food, beverage and retail grocery warehouse.Practical implicationsProposed buffering model offers customized strategies beyond pre-set CSL by varying it dynamically to reduce wastages. The mathematical model deriving lean sizing and mitigation guidelines are constructive development for managers.Originality/valueThis research provides an inventive approach of VSM model and Mathematical algorithm endorsing lean thinking to design effective buffering policies in a forward warehouse.

Efficient Fault Tolerance on Cloud Environments

2018 ◽  
Vol 8 (3) ◽  
pp. 20-31 ◽  
Author(s):  
Sam Goundar ◽  
Akashdeep Bhardwaj
Keyword(s):  
Fault Tolerance ◽  
Web Applications ◽  
Fault Tolerant ◽  
Cloud Services ◽  
Level Of Service ◽  
Cloud Environments ◽  
Computing Environments ◽  
Service Assurance ◽  
Mission Critical ◽  
The Impact

With mission critical web applications and resources being hosted on cloud environments, and cloud services growing fast, the need for having greater level of service assurance regarding fault tolerance for availability and reliability has increased. The high priority now is ensuring a fault tolerant environment that can keep the systems up and running. To minimize the impact of downtime or accessibility failure due to systems, network devices or hardware, the expectations are that such failures need to be anticipated and handled proactively in fast, intelligent way. This article discusses the fault tolerance system for cloud computing environments, analyzes whether this is effective for Cloud environments.

scholarly journals Influence of uncertain identification of triggering rainfall on the assessment of landslide early warning thresholds

2017 ◽  
Author(s):  
David J. Peres ◽  
Antonino Cancelliere ◽  
Roberto Greco ◽  
Thom A. Bogaard
Keyword(s):  
Early Warning ◽  
Continuous Series ◽  
Uncertainty Sources ◽  
Uncertain Knowledge ◽  
Physically Based ◽  
Negative Impacts ◽  
Set Up ◽  
The Impact ◽  
Triggering Rainfall ◽  
Landslide Triggering

Abstract. Uncertainty in rainfall datasets and landslide inventories is known to have negative impacts on the assessment of landslide–triggering thresholds. In this paper, we perform a quantitative analysis of the impacts that the uncertain knowledge of landslide initiation instants have on the assessment of landslide intensity–duration early warning thresholds. The analysis is based on an ideal synthetic database of rainfall and landslide data, generated by coupling a stochastic rainfall generator and a physically based hydrological and slope stability model. This dataset is then perturbed according to hypothetical reporting scenarios, that allow to simulate possible errors in landslide triggering instants, as derived from historical archives. The impact of these errors is analysed by combining different criteria to single-out rainfall events from a continuous series and different temporal aggregations of rainfall (hourly and daily). The analysis shows that the impacts of the above uncertainty sources can be significant. Errors influence thresholds in a way that they are generally underestimated. Potentially, the amount of the underestimation can be enough to induce an excessive number of false positives, hence limiting possible landslide mitigation benefits. Moreover, the uncertain knowledge of triggering rainfall, limits the possibility to set up links between thresholds and physio-geographical factors.

scholarly journals Konsep Persediaan Minimum Maksimum Pengendalian Part Alat Berat Tambang PT Semen Padang

2016 ◽  
Vol 11 (1) ◽  
pp. 203 ◽  
Author(s):  
Dio Putera Hasian
Keyword(s):  
Preventive Maintenance ◽  
Control Policy ◽  
Service Level ◽  
High Demand ◽  
Heavy Equipment ◽  
Production Activity ◽  
Inventory Control Policy ◽  
Data Consumption ◽  
Demand Rate ◽  
The Impact

Bureau of mining heavy equipment maintenance at PT. Semen Padang have task in maintenance mine heavy equipment with preventive maintenance although breakdown maintenance. Part inventory is needed to make this activity work properly. If stockout happened will have the impact to PT.Semen Padang mining and production activity. To solve this problem, minimum-maximum inventory control policy is used to give an optimum value of inventory mine heavy equipment. This research is focused in filter and lubricant inventory because they have high demand rate. Data consumption filter and lubricant from January until December 2010 is used in this research. The service level that used is 95%. The result is quantity optimum inventory mine heavy equipment at filter and lubricant with application part inventory of mine heavy equipment. Because it can keep stockout although excess inventory.Keywords: stockout, optimum, inventory

scholarly journals Pricing Strategies of Multichannel Apparel Supply Chain Based on Showrooming and Information Sharing

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Shanshan Wang ◽  
Tian Luo ◽  
Daofang Chang
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Forecast Error ◽  
Forecast Accuracy ◽  
Service Level ◽  
Clothing Industry ◽  
Pricing Strategies ◽  
Information Barriers ◽  
The Impact ◽  
Share Information

This paper examines the influence of information forecast accuracy on the profits of the supply chain under the circumstance of a multichannel apparel supply chain. Due to the emergence of multichannel, customer showrooming behavior is becoming increasingly prevalent. For example, consumers usually buy garments online after experiencing the service in the traditional bricks and mortar in the clothing industry. Meanwhile, there are often information barriers between the manufacturer and the retailer, which will affect enterprise decision-making. To solve these problems, this paper mainly investigates the information sharing and customer showrooming phenomenon, which includes four models: no information sharing without showrooming model (NN), information sharing without showrooming model (SN), no information sharing with showrooming model (NS), and information sharing with showrooming model (SS). The numerical analysis shows that under the impact of the forecast error, information sharing between channel members is more favorable than no information sharing when parameters satisfy certain conditions. From the perspectives of the retailer, the manufacturer, and the whole supply chain, customer showrooming behavior will bring them less profit. These conclusions mean that the retailer should share information with the manufacturer and adjust their service level and sales price to alleviate the effect of showrooming.

scholarly journals Customer Service Mechanism Analysis At Bank Bjb Branch Of Tangerang City

2021 ◽  
Vol 19 (1) ◽  
pp. 126
Author(s):  
Rachmat Gustiana ◽  
Mustofa Mustofa ◽  
Beby Pebri Nurjaman
Keyword(s):  
Customer Satisfaction ◽  
Customer Service ◽  
Service Level ◽  
Level Of Service ◽  
Mechanism Analysis ◽  
Satisfaction Index ◽  
Customer Satisfaction Index ◽  
A Value ◽  
Index Analysis ◽  
Index Value

This study aims to explain the service mechanism at Bank BJB, Tangerang City Branch to its customers. The research objective was to explain the service level and customer satisfaction index value of the Bank BJB Branch of Tangerang City. The research method used is quantitative method with descriptive type. To measure the level of service used Likert scale analysis and to measure customer satisfaction used customer satisfaction index analysis. The results showed that the research hypothesis can be accepted, with a service level of 70.52%, which is above the critical value of acceptance of hi potesis by 60%. The results of the customer satisfaction index analysis resulted in a value of 89.53 which was included in the service class category A class which indicated that the services provided by the Bank BJB Branch of Tangerang City were very good.

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