Related Experiment Video
Updated: Nov 1, 2025

07:00
Failure of Cleaning Verification in Pharmaceutical Industry Due to Uncleanliness of Stainless Steel Surface
Published on: August 11, 2017
8.4K
Supply chain vulnerability assessment for manufacturing industry.
Satyendra Kumar Sharma1, Praveen Ranjan Srivastava2, Ajay Kumar3
1Department of Management, BITS Pilani, Rajasthan, India.
Summary
Recent events highlight supply chain vulnerability. This study identifies critical factors like supplier issues and long lead times, offering insights for robust supply chain management.
Area of Science:
- Supply Chain Management
- Risk Management
- Operations Research
Background:
- Increasing frequency of natural and man-made disasters (e.g., COVID-19) has heightened focus on supply chain vulnerability.
- Practitioners and researchers are actively seeking to understand and mitigate risks within complex supply networks.
Purpose of the Study:
- To investigate and prioritize the key factors contributing to supply chain vulnerability.
- To develop a model for assessing and managing internal, controllable vulnerability factors.
Main Methods:
- Extensive literature review to identify initial vulnerability factors.
- Expert interviews to refine and validate the list of factors.
- Analytical Hierarchy Process (AHP) to assess the relative criticality of identified factors.
Main Results:
- Twenty-six distinct supply chain vulnerability factors were extracted.
- Critical factors identified include critical part suppliers, supplier location, long lead times, undefined process ownership, and misaligned incentives.
- Both supply chain structure (length, complexity) and firm-adopted practices significantly influence vulnerability.
Conclusions:
- The relative assessment of vulnerability factors provides a framework for targeted mitigation strategies.
- Implementing robust practices and addressing identified critical factors can enhance supply chain resilience.
- This research contributes a model for understanding and controlling internal supply chain vulnerabilities.
Related Concept Videos
Pharmacovigilance
1.3K
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
1.3K
Steel Manufacturing
949
Steel manufacturing is a multi-stage process that begins by smelting iron ore into cast iron in a blast furnace. This initial stage involves layering iron ore with coke, a type of fuel, and crushed limestone within the furnace. The coke is ignited with a high volume of air, leading to the creation of carbon monoxide, which acts to reduce the iron ore to pure iron.
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
During this smelting process, limestone plays a crucial role by forming slag. Slag captures impurities within the molten iron, such...
949
Introduction to Statistical Process Control
374
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
374
Quality Assurance
403
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
403
Factors Affecting Workability
165
The workability of concrete is a critical characteristic that influences the ease of mixing, handling, and finishing the concrete. It is affected by several factors including water content, aggregate properties, and admixtures like air entrainment. Water plays a fundamental role as it lubricates the concrete mix, facilitating easier movement and placement. However, the water requirement varies depending on the texture and shape of aggregates. Finer particles and angular, rough-textured...
165
Yield Criteria for Ductile Materials under Plane Stress
276
In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
The Maximum Shearing Stress Criterion, also known as...
The Maximum Shearing Stress Criterion, also known as...
276

