scholarly journals Stock And Flow Diagram of Supply-Prices Stabilization Model of The Chicken Meat Industry Supply Network: A Case Study In Daerah Istimewa Yogyakarta (DIY)

2021 ◽  
Vol 1 (1) ◽  
pp. 211-218
Author(s):  
Laila Nafisah ◽  
Natasha Putri Larasati ◽  
Yuli Dwi Astanti
Keyword(s):  
Supply Chain ◽  
Broiler Chicken ◽  
Large Scale ◽  
Price Change ◽  
Chicken Meat ◽  
Animal Protein ◽  
Flow Diagram ◽  
Meat Industry ◽  
Stock And Flow Diagram ◽  
The Impact

During the Covid-19 pandemic, the government issued a policy through Large-Scale Social Restrictions and the impact was felt on the unsustainable availability of various food commodities, one of which was broiler chicken meat. Broiler chicken is one of the animal protein food products that is favored by people from various circles because it has a relatively cheaper price compared to other meat commodities that provide animal protein, is easy to obtain, and has good organoleptic quality. The purchasing power of the people of the Special Region of Yogyakarta (DIY) is also increasing due to increased nutritional awareness related to the fulfillment of animal protein. The broiler production process contains uncertainty because it is seasonal. This causes a fluctuating price change. Fluctuations in broiler prices are not a new phenomenon in the DIY. Price fluctuations usually occur at certain times such as during religious holidays and this phenomenon occurs repeatedly every year. So we need a broiler supply chain research to maintain price stability using a dynamic simulation system model of the broiler chicken supply chain in DIY. This study develops a Causal Loop Diagram (CLD) and Stock and Flow Diagram (SFD) of system dynamic model of the broiler supply chain in the DIY and simulates the model using Powersim Studio 10 software. The simulation is confirmed verified and valid, therefore for the next research model can be used to solve the problem by generating policy scenario.

scholarly journals Impact of Changing Consumer Lifestyles on Intention to Purchase towards Green and Halal Foods of the Chicken Meat Industry in Malaysia

2015 ◽  
Vol 7 (6) ◽  
pp. 155 ◽  
Author(s):  
Foo Weng Toong ◽  
Aye Aye Khin ◽  
Ali Khatibi
Keyword(s):  
Descriptive Analysis ◽  
Simple Random Sampling ◽  
Chicken Meat ◽  
Meat Industry ◽  
Consumer Market ◽  
Factors Affecting ◽  
Price Consciousness ◽  
Intention To Purchase ◽  
Consumer Lifestyles ◽  
The Impact

<p>The study is to present the impact of changing consumer lifestyle on intention to purchase towards green and <em>Halal</em> foods of the chicken meat industry in Malaysia. The objective of the study is to investigate the factors affecting on intention to purchase towards green and <em>Halal</em> foods of the chicken meat industry in Malaysia. Those factors are natural content, convenience, knowledge of <em>Halal</em> and green foods issue, familiarity, price consciousness, attitude towards purchasing and demographic profile. There are 377 respondents with using simple random sampling and questionnaires for interviewing. Descriptive analysis, correlation, ANOVA and factor analysis will be tested into this study. This study would be provided the benefits of consumers’ lifestyle towards the intention to purchase towards green and <em>Halal</em> foods as the selecting of the chicken meat in consumer market. Moreover, the implication of this study is to get the niche market (which is <em>Halal</em> and green marketing) knowledge and information towards the chicken meat industry in Malaysia.</p>

An Ontology-based Bayesian network modelling for supply chain risk propagation

2019 ◽  
Vol 119 (8) ◽  
pp. 1691-1711 ◽  
Author(s):  
Shoufeng Cao ◽  
Kim Bryceson ◽  
Damian Hine
Keyword(s):  
Supply Chain ◽  
Bayesian Network ◽  
Customer Value ◽  
Large Scale ◽  
Table Grape ◽  
Scale Model ◽  
Management Approach ◽  
Network Modelling ◽  
Content Type ◽  
The Impact

Purpose Supply chain risks (SCRs) do not work in isolation and have impact both on each member of a chain and the performance of the entire supply chain. The purpose of this paper is to quantitatively assess the impact of dynamic risk propagation within and between integrated firms in global fresh produce supply chains. Design/methodology/approach A risk propagation ontology-based Bayesian network (BN) model was developed to measure dynamic SCR propagation. The proposed model was applied to a two-tier Australia-China table grape supply chain (ACTGSC) featured with an upstream Australian integrated grower and exporter and a downstream Chinese integrated importer and online retailer. Findings An ontology-based BN can be generated to accurately represent the risk domain of interest using the knowledge and inference capabilities inherent in a risk propagation ontology. In addition, the analyses revealed that supply discontinuity, product inconsistency and/or delivery delay originating in the upstream firm can propagate to increase the downstream firm’s customer value risk and business performance risk. Research limitations/implications The work was conducted in an Australian-China table grape supply chain, so results are only product chain-specific in nature. Additionally, only two state values were considered for all nodes in the model, and finally, while the proposed methodology does provide a large-scale risk network map, it may not be appropriate for a large supply chain network as it only follows the process flow of a single supply chain. Practical implications This study supports the backward-looking traceability of risk root causes through the ACTGSC and the forward-looking prediction of risk propagation to key risk performance measures. Social implications The methodology used in this paper provides an evidence-based decision-making capability as part of a system-wide risk management approach and fosters collaborative SCR management, which can yield numerous societal benefits. Originality/value The proposed methodology addresses the challenges in using a knowledge-based approach to develop a BN model, particularly with a large-scale model and integrates risk and performance for a holistic risk propagation assessment. The combination of modelling approaches to address the issue is unique.

scholarly journals System Dynamics Modeling in Additive Manufacturing Supply Chain Management

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 982
Author(s):  
Jairo Nuñez Rodriguez ◽  
Hugo Hernando Andrade Sosa ◽  
Sylvia Maria Villarreal Archila ◽  
Angel Ortiz
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
System Dynamics ◽  
Raw Material ◽  
Flow Diagram ◽  
Disruptive Technology ◽  
Chain Management ◽  
Starting Point ◽  
Operating Policies ◽  
The Impact

A system dynamics model was developed with the primary purpose of visualizing the behavior of a supply chain (SC) when it adopts a disruptive technology such as additive manufacturing (AM). The model proposed a dynamic hypothesis that defines the following issue: what is the impact of the AM characteristics and processes in the SC? The model was represented through a causal diagram in thirteen variables related to the SC, organized in two feedback cycles and a data flow diagram, based mainly on the three-essential links of the SC and the order display traceability: supplier–focal manufacturer–distribution Network. Once proposed, the model was validated through the evaluation of extreme conditions and sensitivity analysis. As a result, the dynamic behavior of the variables that condition the chain management was analyzed, evidencing reduction times in production, especially in products that require greater complexity and detail, as well as reductions in inventories and the amount of raw material due to production and storing practices from AM. This model is the starting point for alternative supply chain scenarios through structural operating policies and operating policies in terms of process management.

scholarly journals Impact of the strategic sourcing process on the supply chain response to the COVID-19 effects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guilherme F. Frederico ◽  
Vikas Kumar ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Large Scale ◽  
Survey Methodology ◽  
Chain Management ◽  
Content Type ◽  
Strategic Sourcing ◽  
Management Domain ◽  
The Impact

PurposeThis research investigates the impact of the strategic sourcing process on the supply chain response to COVID-19. The paper presents practitioners' perspectives (experts in supply chain management, especially involved in the procurement field) on the strategic sourcing process's impact on the supply chain response.Design/methodology/approachThe study follows a survey-based approach for data collection. It uses a descriptive survey methodology where questions related to the impact of the strategic sourcing process on the supply chain response in the face of the coronavirus pandemic were explored by practitioners.FindingsIn total, 130 valid responses were obtained. The results showed that the majority of respondents agreed or strongly agreed that strategic sourcing positively impacts the supply chain response amid the COVID-19 effects. Also, for the five phases of the strategic sourcing process, the majority of respondents considered them as a high and very high impact on the supply chain response.Research limitations/implicationsThis paper provides timely insights for practitioners and academics, especially those involved in the supply chain management area, showing how the strategic sourcing process plays an important role in making supply chains more responsive amid disruption situations.Practical implicationsFindings of this paper clearly shows the impact of the phases of the strategic sourcing process on the responsiveness of the supply chains amid the COVID-19 pandemic. This can encourage supply chain leadership to devote more time to strategic sourcing initiatives to generate improvements on the supply chain performance.Originality/valueThis paper is unique since it brings an unexplored relation in respect to strategic sourcing amid disruption situations, such as the COVID-19 pandemic, from a practitioner's perspective. It also significantly contributes to developing new directions for the supply chain management domain to deal with large-scale disruptions, such as the coronavirus pandemic.

scholarly journals Rewiring Strategy Based on Directed Betweenness to Mitigate Disruptions of Large-Scale Supply Chain Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hui Xia
Keyword(s):  
Supply Chain ◽  
Empirical Data ◽  
Large Scale ◽  
Network Connectivity ◽  
The Other ◽  
Network Robustness ◽  
Data Driven ◽  
Supply Chain Network ◽  
Supply Chain Networks ◽  
The Impact

In current large-scale supply chain networks, unexpected disruptions degrade the supply availability and network connectivity for modern enterprises. How to improve the robustness of supply chain networks is very important for modern enterprises. In this paper, we explore how to improve the robustness of supply chain networks from a topological perspective. Firstly, through the empirical data-driven study, we show that the directed betweenness metric is more suitable than the other topological metrics in evaluating the robustness of supply chain networks. Then, we propose a rewiring algorithm based on directed betweenness to improve network robustness under the impact of disruptions. The experimental results in the large-scale supply chain network show that the rewiring algorithm based on directed betweenness effectively improves the network robustness.

Usage of Business Analytics and Supply Chain Performance – An Empirical Study of Sri Lankan Aapparel Sector

2021 ◽  
pp. 9-17
Author(s):  
Lakpura D.D. ◽  
Anuththara K.H.G.M. ◽  
Hansika P.P.G.C.N. ◽  
Fernando K.E.H. ◽  
Ranjiva Munasinghe ◽  
...  
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Large Scale ◽  
Supply Chain Performance ◽  
Sri Lankan ◽  
Business Analytics ◽  
Business World ◽  
Apparel Companies ◽  
The Impact ◽  
The Relationship

Advances in technology and innovation require companies to embrace these new trends to compete and stay ahead in the business world. In particular, there is a need for companies to incorporate Business Analytics practices within their organizations. Business Analytics consists of two components: Information Systems and Business Process Orientation. This study aims to investigate the impact of the use of Business Analytics on the Supply Chain Performance in apparel companies in Sri Lanka. This research focuses on discussing the objectives developed to achieve the purpose of the study. To achieve this objective, this current study investigates the relationship between the Information System, Supply Chain Performance and the effect of the use of the Information System in the supply chains of Sri Lankan apparel companies. The study uses a quantitative approach. In this study, for quantitative analysis study performs regression analysis and decision tree analysis. This study identifies a positive relationship between the Information System and the Supply Chain Performance. For further future studies, it is advisable to extend this study by examining the performance of medium-and large-scale companies in the country.

Infrastructure framework and manufacturing supply chain agility: the role of delivery dependability and time to market

2017 ◽  
Vol 22 (2) ◽  
pp. 172-185 ◽  
Author(s):  
Moh’d Anwer Al-Shboul
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Large Scale ◽  
Time To Market ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Impact

Purpose The main purpose of this study is to examine the role of delivery dependability and time to market, on the relation between the infrastructure framework and supply chain agility. Furthermore, the impacts of supply chain agility on firm performance are examined. Design/methodology/approach Data were collected from 113 respondents, senior executives and managers, in purchasing, operations, supplying, planning and other supply chain functions in large manufacturing firms in the MENA region, which includes 12 countries (Jordan, Lebanon, Egypt, Saudi Arabia, United Arab Emirates, Kuwait, Oman, Bahrain, Qatar, Morocco, Tunis and Algeria). A large-scale survey questionnaire was used for data collection process. The research framework was tested by using hypothesis-testing deductive approach. The results are based on covariance-based analysis and structural equation modelling using analysis of moment structures software. Findings The results show that infrastructure framework elements do not contribute significantly to support supply chain agility. It is also found that delivery dependability and time to market partially mediate the relationship between infrastructure framework elements and supply chain agility. Additionally, it is found that supply chain agility is associated with enhanced firm performance. Originality/value This paper provides an overview and empirically shows that delivery dependability and time to market are appropriate logistics practices for mediating the impact of infrastructure framework and supply chain agility. These relationships indicate a contribution to theory that explains how infrastructure framework elements can procreate supply chain agility, through the synchronising of appropriately matched logistics practices.

Progress in comprehending the phytate–phytase axis in chicken-meat production

2018 ◽  
Vol 58 (10) ◽  
pp. 1767 ◽  
Author(s):  
Amy F. Moss ◽  
Sonia Yun Liu ◽  
Peter H. Selle
Keyword(s):  
Amino Acid ◽  
Sodium Pump ◽  
Glucose Absorption ◽  
Chicken Meat ◽  
Transport Systems ◽  
Meat Production ◽  
Meat Industry ◽  
Phytate Degradation ◽  
Dependent Transport ◽  
The Impact

After an extended delay, the level of acceptance of exogenous phytases by the global chicken-meat industry is now almost complete. Contemporary bacterial phytases degrade phytate primarily in the gizzard. The extent of phytate degradation determines the extent to which phytate-bound phosphorus (P) is liberated; however, studies designed to investigate phytate degradation along the digestive tract have generated some confusing outcomes. This may be related to the reactivity of the phytate moiety, coupled with problems with inert dietary markers and perhaps a lack of complete and uniform extractions of phytate from digesta due to variations in digesta pH and phytate solubility. Quite recently, phytase was shown to have profound impacts on sodium (Na) digestibility coefficients in four segments of the small intestine. This has obvious implications for intestinal uptakes of glucose and amino acids via their respective Na+-dependent transport systems and it is possible that phytate and phytase have reciprocal impacts on ‘sodium pump’ (Na+, K+-ATPase) activity. It has been recently demonstrated unequivocally that phytase has the capacity to increase amino acid digestibility coefficients to the extent that phytase may generate a ‘proximal shift’ in the sites of amino acid absorption. The impact of phytase on starch digestibility is more equivocal and phytase responses may stem more from enhanced glucose absorption rather than starch digestion. The acceptance of phytase is hardly surprising, given its capacity to increase P utilisation coupled with numerous other positive influences that are still being properly realised.

Sign in / Sign up

Export Citation Format

Share Document