scholarly journals RISK STUDY OF SUPPLY CHAIN OF LEARNING MODULE PROCUREMENT PROJECT (CASE STUDY: PT. XYZ)

2021 ◽  
Vol 16 (4) ◽  
pp. 235-241
Author(s):  
Rheza Aulia Ramadhan ◽  
Ananda Vania Arisa Putri ◽  
Bambang Purwanggono Sukarsono
Keyword(s):  
Supply Chain ◽  
Mitigation Strategies ◽  
Learning Modules ◽  
Potential Value ◽  
Learning Module ◽  
Aggregate Risk ◽  
Supply Chain Risks ◽  
Risk Potential ◽  
Modern Era

Modern era has an impact on the industry. Relate to technology to turn raw goods into finished goods. Look at competitive in competition between companies that are required to customer demand. PT. XYZ is a publishing and printing company, constructing and concocting books and learning modules. Currently PT. XYZ does not yet have structured risk management to identify and mitigate risks that occur primarily in supply chain functions. Therefore, research is needed that aims to identify possible risks in PT. XYZ supply chain activities. Determine the cause of risk that must be prioritized to be mitigated in the supply chain PT. XYZ and determine mitigation strategies that must be prioritized to address the causes of risks in the supply chain PT. XYZ. The method used in this study is by the House of Risk method. HOR is used to identify risk events, risk agents in the supply chain and design mitigation strategies for risk agents based on ARP (Aggregate Risk Potential) value. The results of this study show that there are 10 risk events and 15 risk agents that become supply chain risks as well as recommendations for tackling priority risk agents.

scholarly journals Risk Mitigation Strategy for Mangosteen Business Using House of Risk (HOR) Methods (A Case Study in "Wijaya Buah", Blitar District, Indonesia)

2018 ◽  
Vol 4 (2) ◽  
pp. 17
Author(s):  
Retno Astuti ◽  
Rizky Lutfian Ramadhan Silalahi ◽  
Rizky Amalia Rosyadi
Keyword(s):  
Supply Chain ◽  
Risk Mitigation ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Aggregate Risk ◽  
Risk Mitigation Strategies ◽  
Risk Potential ◽  
Level 2

The study aimed to determine the order of priority risk agents and risk mitigation strategies that should be implemented by “Wijaya Buah” as a fruit wholesaler. This research used 2 phases of House of Risk (HOR) methods. HOR I was used to identify risk events and risk agents in mangosteen business based on the mapping of business activities using the Supply Chain Operations Reference (SCOR) version 9 level 2. HOR II then was used to determine the risk mitigation strategy based the relation between the risk mitigations and the risk agents. The results of the study showed that 19 risk events were identified with 27 risk agents. Based on the calculation of Aggregate Risk Potential (ARP), 1 risk agents became priority to be designed for mitigation strategies. In order to reduce the incidence of risk agent, 3 mitigation strategies should be applied in “Wijaya Buah”. Keywords: HOR; Mangosteen; Mitigation; Risk; SCOR

Management of personal protective equipment during the COVID-19 pandemic in England and the state of New York: A comparative case study

2020 ◽  
Vol 18 (7) ◽  
pp. 71-89
Author(s):  
Amy Barber, BSc ◽  
Annaëlle Vinzent, BS ◽  
Imani Williams, BA
Keyword(s):  
New York ◽  
Supply Chain ◽  
Health Systems ◽  
Personal Protective Equipment ◽  
New York State ◽  
The United States ◽  
Mitigation Strategies ◽  
Comparative Case Study ◽  
Protective Equipment

Background: The COVID-19 crisis placed extraordinary demands on the supply of personal protective equipment (PPE) at the beginning of 2020. These were coupled with shocks to the supply chain resulting from the disease. Many typically well-resourced health systems faced subsequent shortages of equipment and had to implement new strategies to manage their stocks. Stockpiles of protective equipment were held in both the United States and United Kingdom intended to prevent shortages. Method: Cross-comparative case study approach by applying Pettigrew and Whipp’s framework for change management. Setting: The health systems of England and New York state from January 2020 to the end of April 2020. Results: Both cases reacted slowly to their outbreaks and faced problems with supplying enough PPE to their health systems. Their stockpiles were not enough to prevent shortages, with many distribution problems resulting from inadequate governance mechanisms. No sustainable responses to supply disruptions were implemented during the study period in either case. Health systems planned interventions along each part of the supply chain from production and importing, to usage guidelines. Conclusion: Global supply chains are vulnerable to disruptions caused by international crises, and existing mitigation strategies have not been wholly successful. The existence of stockpiles is insufficient to preventing shortages of necessary equipment in clinical settings. Both the governance and quality of stockpiles, as well as distribution channels are important for preventing shortages. At the time of writing, it is not possible to judge the strength of strategies adopted in these cases.

On the Applicability of Analytical Supply Chain Disruption Models for Selecting the Optimum Contingency Strategies for Electronic Supply Chain Disruption Management: A Comparison With Simulation

2014 ◽  
Author(s):  
Hannah Allison ◽  
Peter Sandborn ◽  
Bo Eriksson
Keyword(s):  
Supply Chain ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Analytical Models ◽  
Supply Chain Disruption ◽  
Simulation Based ◽  
Disruption Mitigation ◽  
The Impact ◽  
Selection Of

Due to the nature of the manufacturing and support activities associated with long life cycle products, the parts that products required need to be dependably and consistently available. However, the parts that comprise long lifetime products are susceptible to a variety of supply chain disruptions. In order to minimize the impact of these unavoidable disruptions to production, manufacturers can implement proactive mitigation strategies. Two mitigation strategies in particular have been proven to decrease the penalty costs associated with disruptions: second sourcing and buffering. Second sourcing involves selecting two distinct suppliers from which to purchase parts over the life of the part’s use within a product or organization. Second sourcing reduces the probability of part unavailability (and its associated penalties), but at the expense of qualification and support costs for multiple suppliers. An alternative disruption mitigation strategy is buffering (also referred to as hoarding). Buffering involves stocking enough parts in inventory to satisfy the forecasted part demand (for both manufacturing and maintenance requirements) for a fixed future time period so as to offset the impact of disruptions. Careful selection of the mitigation strategy (second sourcing, buffering, or a combination of the two) is key, as it can dramatically impact a part’s total cost of ownership. This paper studies the effectiveness of traditional analytical models compared to a simulation-based approach for the selection of an optimal disruption mitigation strategy. A verification case study was performed to check the accuracy and applicability of the simulation-based model. The case study results show that the simulation model is capable of replicating results from operations research models, and overcomes significant scenario restrictions that limit the usefulness of analytical models as decision-making tools. Four assumptions, in particular, severely limit the realism of most analytical models but do not constrain the simulation-based model. These limiting assumptions are: 1) no fixed costs associated with part orders, 2) infinite-horizon, 3) perfectly reliable backup supplier, and 4) disruptions lasting full ordering periods (as opposed to fractional periods).

scholarly journals Humanitarian supply chain strategies – a review of how actors mitigate supply chain risks

2017 ◽  
Vol 7 (2) ◽  
pp. 82-101 ◽  
Author(s):  
Marianne Jahre
Keyword(s):  
Supply Chain ◽  
Case Studies ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Primary Data ◽  
Main Concern ◽  
Supply Chain Risk Management ◽  
Content Type ◽  
Trade Offs ◽  
Supply Chain Risks

Purpose The purpose of this paper is to link humanitarian logistics (HL) and supply chain risk management (SCRM) to provide an understanding of risk mitigation strategies that humanitarian organisations use, or could use, to improve their logistics preparedness. Design/methodology/approach Based on systematic reviews of RMS in SCRM and supply chain strategies (SCS) in HL literature, a framework is developed and used to review published case studies in HL. Findings The study finds that humanitarian actors use a number of the strategies proposed in the framework, particularly those related to strategic stocks, postponement, and collaboration. Strategies related to sourcing and procurement, however, especially those on supplier relationships, seem to be lacking in both research and practice. Research limitations/implications The study is based on secondary data and could be further developed through case studies based on primary data. Future studies should explore the generalisability of the findings. Practical implications Practitioners can use the framework to identify potential new SCS and how strategies can be combined. Findings can help them to understand the abnormal risks of main concern, how they may impact normal risks, and provide ideas on how to tackle trade-offs between different risks. Social implications The results can support improvements in humanitarian supply chains, which will provide affected people with rapid, cost-efficient, and better-adapted responses. Originality/value The paper connects SCRM and HL to develop a framework and suggests propositions on how humanitarian actors can mitigate supply chain risks. Questioning the focus on strategic stock it suggests complementary or alternative strategies for improving logistics preparedness.

Optimizing Part Sourcing Strategies for Low-Volume, Long Life Cycle Products Using Second Sourcing and Part Hoarding

2013 ◽  
Author(s):  
Varun J. Prabhakar ◽  
Hannah Allison ◽  
Peter Sandborn ◽  
Bo Eriksson
Keyword(s):  
Supply Chain ◽  
Life Cycle ◽  
Mitigation Strategies ◽  
Supply Chain Disruptions ◽  
Sourcing Strategies ◽  
Study Results ◽  
Future Time Period ◽  
Long Life ◽  
The Impact

Long life cycle products, commonly found in aviation, medical and critical infrastructure applications, are often fielded and supported for long periods of time (20 years or more). The manufacture and support of long life cycle products rely on the availability of suitable parts, which over long periods of time, leaves the parts susceptible to supply chain disruptions such as suppliers exiting the market, allocation issues, counterfeit part risks, and part obsolescence. Proactive mitigation strategies exist that can reduce the impact of supply chain disruptions. One solution to mitigating the supply chain risk is the strategic formulation of part sourcing strategies (optimally selecting one or more suppliers from which to purchase parts over the life of the part’s use within a product or organization). Strategic sourcing offers a way of avoiding the risk of part unavailability (and its associated penalties), but at the expense of qualification and support costs for multiple suppliers. An alternative disruption mitigation strategy is hoarding. Hoarding involves stocking enough parts in inventory to satisfy the forecasted part demand (for both manufacturing and maintenance requirements) of a fixed future time period. This excess inventory provides a buffer that reduces the effect of supply chain disruptions on the part total cost of ownership (TCO), but increases the total holding cost. This paper presents a method of performing tradeoff analyses and identifying the optimal combination of second sourcing and hoarding for a specific part and product scenario. A case study was performed to examine the effects of hoarding on both single and second sourced parts. The case study results show that hoarding can contribute to a decrease in the cumulative TCO and a decrease in its variance.

Supply Chain Risk Prioritization Using a Hybrid MCDM Approach

2012 ◽  
Vol 488-489 ◽  
pp. 406-410
Author(s):  
S. Prasanna Venkatesan ◽  
S. Kumanan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Customer Service ◽  
Mitigation Strategies ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Supply Chain Risk ◽  
Risk Prioritization ◽  
Robust Supply Chain ◽  
Supply Chain Risks

In recent years, supply chains have become increasingly vulnerable to risks resulting in poor financial performance and customer service. Managing the supply chain risks is a challenging task. Resilience and responsiveness based strategies are being attempted to build a robust supply chain. To select the appropriate mitigation strategies, supply chain risks are to be prioritized. Supply chain risk prioritization is a Multi Criteria Decision Making (MCDM) problem. MCDM models for supply chain risk prioritization needs attention. In this research, a hybrid Analytic Hierarch Process (AHP) and Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) approach is proposed for supply chain risk prioritization. A case example of a typical tractor industry is presented to illustrate the performance of the proposed approach.

Adaptable Navigation in a SCORM Compliant Learning Module

2008 ◽  
pp. 1508-1522
Author(s):  
Boris Gauss ◽  
Leon Urbas
Keyword(s):  
Steady State ◽  
Systems Engineering ◽  
Future Research ◽  
Process Systems Engineering ◽  
Process Systems ◽  
Learning Modules ◽  
Learning Module ◽  
Technological Standard ◽  
The Subject

This chapter is about the use of metaphors and adaptable navigation in the context of the technological standard SCORM. Our theoretical focus is on hypertext navigation in SCORM compliant learning modules and the potential of adaptable navigation metaphors within this standard. In the empirical section, we present a case study about navigation design and usability evaluation of a learning module prototype. This learning module was developed for the subject matter of steady-state modelling in process systems engineering, and features an adaptable navigation with a novel process control metaphor. We conclude with a discussion on the didactical value of navigation metaphors and adaptability in SCORM, and provide some suggestions for future research in this area.

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