Plant Location Selection for Food Production by Considering the Regional and Seasonal Supply Vulnerability of Raw Materials

A production capacity analysis considering market demand and raw materials is very important to design a new plant. However, in the food processing industry, the supply uncertainty of raw materials is very high, depending on the production site and the harvest season, and further, it is not straightforward to analyze too complex food production systems by using an analytical optimization model. For these reasons, this study presents a simulation-based decision support model to select the right location for a new food processing plant. We first define three supply vulnerability factors from the standpoint of regional as well as seasonal instability and present an assessment method for supply vulnerability based on fuzzy quantification. The evaluated vulnerability scores are then converted into raw material supply variations for food production simulation to predict the quarterly production volume of a new food processing plant. The proposed selection procedure is illustrated using a case study of semiprocessed kimchi production. The best plant location is proposed where we can reduce and mitigate risks when supplying raw material, thereby producing a target production volume steadily.

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Listeria monocytogenes Isolates Carrying Virulence-Attenuating Mutations in Internalin A Are Commonly Isolated from Ready-to-Eat Food Processing Plant and Retail Environments

Journal of Food Protection ◽

10.4315/0362-028x.jfp-16-145 ◽

2016 ◽

Vol 79 (10) ◽

pp. 1733-1740 ◽

Cited By ~ 12

Author(s):

A. VAN STELTEN ◽

A. R. ROBERTS ◽

C. S. MANUEL ◽

K. K. NIGHTINGALE

Keyword(s):

Listeria Monocytogenes ◽

Food Processing ◽

Food Production ◽

Stop Codon ◽

Significant Proportion ◽

Premature Stop Codon ◽

Processing Plant ◽

Contact Surfaces ◽

Internalin A ◽

Food Processing Plant

ABSTRACT Listeria monocytogenes is a human foodborne pathogen that may cause an invasive disease known as listeriosis in susceptible individuals. Internalin A (InlA; encoded by inlA) is a virulence factor that facilitates crossing of host cell barriers by L. monocytogenes. At least 19 single nucleotide polymorphisms (SNPs) in inlA that result in a premature stop codon (PMSC) have been described worldwide. SNPs leading to a PMSC in inlA have been shown to be causally associated with attenuated virulence. L. monocytogenes pathogens carrying virulence-attenuating (VA) mutations in inlA have been commonly isolated from ready-to-eat (RTE) foods but rarely have been associated with human disease. This study was conducted to determine the prevalence of VA SNPs in inlA among L. monocytogenes from environments associated with RTE food production and handling. More than 700 L. monocytogenes isolates from RTE food processing plant (n = 409) and retail (n = 319) environments were screened for the presence of VA SNPs in inlA. Overall, 26.4% of isolates from RTE food processing plant and 32.6% of isolates from retail environments carried a VA mutation in inlA. Food contact surfaces sampled at retail establishments were significantly (P < 0.0001) more likely to be contaminated by a L. monocytogenes isolate carrying a VA mutation in inlA (56% of 55 isolates) compared with nonfood contact surfaces (28% of 264 isolates). Overall, a significant proportion of L. monocytogenes isolated from RTE food production and handling environments have reduced virulence. These data will be useful in the revision of current and the development of future risk assessments that incorporate strain-specific virulence parameters.

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PENGARUH HARGA DAN PEMAKAIAN PERSEDIAAN BAHAN BAKU TERHADAP VOLUME PRODUKSI PADA PT. KELOLA MINA LAUT DI GRESIK

MANAJERIAL ◽

10.30587/manajerial.v1i1.429 ◽

2018 ◽

Vol 1 (1) ◽

pp. 66

Author(s):

BAYU YRI WIDHARTO

Keyword(s):

Linear Regression ◽

Hypothesis Testing ◽

Multiple Linear Regression ◽

Raw Materials ◽

T Test ◽

Raw Material ◽

Analysis Tool ◽

Production Volume ◽

F Test ◽

Material Price

The purpose of the research was to know the affect of many factors which affected to the production volume in PT. Kelola Mina Laut Gresik. What the price of raw materials was and the used of raw materials partially and simultan eously affected on the production volume. The analysis tool which used was a model of multiple linear regression. Hypothesis testing used t test and F test, both at the significant level 5%. Based of the analysis of research on PT Kelola Mina Laut Gresik. Partially, inventory raw material price had not significant effect on the production volume, consumption of raw material inventory affected significantly of the production volume. Inventory of raw material price and the use of raw material simultan eously affect significantly to the production volume.

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Teams, Incentive Pay, and Productive Efficiency: Evidence from a Food-Processing Plant

ILR Review ◽

10.1177/001979391006300403 ◽

2010 ◽

Vol 63 (4) ◽

pp. 606-626 ◽

Cited By ~ 39

Author(s):

Derek C. Jones ◽

Panu Kalmi ◽

Antti Kauhanen

Keyword(s):

Food Processing ◽

Productive Efficiency ◽

Incentive Pay ◽

Processing Plant ◽

Food Processing Plant

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Outbreak ofNeisseria meningitidisC in workers at a large food-processing plant in Brazil: challenges of controlling disease spread to the larger community

Epidemiology and Infection ◽

10.1017/s0950268811001610 ◽

2011 ◽

Vol 140 (5) ◽

pp. 906-915 ◽

Cited By ~ 16

Author(s):

B. P. M. ISER ◽

H. C. A. V. LIMA ◽

C. De MORAES ◽

R. P. A. De ALMEIDA ◽

L. T. WATANABE ◽

...

Keyword(s):

Food Processing ◽

Purpura Fulminans ◽

Control Measures ◽

Disease Spread ◽

Processing Plant ◽

Sterile Site ◽

Matched Case ◽

Epidemiological Link ◽

Control Study ◽

Food Processing Plant

SUMMARYAn outbreak of meningococcal disease (MD) with severe morbidity and mortality was investigated in midwestern Brazil in order to identify control measures. A MD case was defined as isolation ofNeisseria meningitidis, or detection of polysaccharide antigen in a sterile site, or presence of clinical purpura fulminans, or an epidemiological link with a laboratory-confirmed case-patient, between June and August 2008. In 8 out of 16 MD cases studied, serogroup C ST103 complex was identified. Five (31%) cases had neurological findings and five (31%) died. The attack rate was 12 cases/100 000 town residents and 60 cases/100 000 employees in a large local food-processing plant. We conducted a matched case-control study of eight primary laboratory-confirmed cases (1:4). Factors associated with illness in single variable analysis were work at the processing plant [matched odds ratio (mOR) 22, 95% confidence interval (CI) 2·3–207·7,P<0·01], and residing <1 year in Rio Verde (mOR 7, 95% CI 1·11–43·9,P<0·02). Mass vaccination (>10 000 plant employees) stopped propagation in the plant, but not in the larger community.

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Using Six Sigma to evaluate using automated inventory tracking to reduce in processing food product shortages at an international food processing plant

Quality Management for Organizations Using Lean Six Sigma Techniques ◽

10.1201/b16401-32 ◽

2014 ◽

pp. 541-552

Keyword(s):

Six Sigma ◽

Food Processing ◽

Food Product ◽

Processing Plant ◽

Food Processing Plant

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Application of multi-based quality function deployment (QFD) model to improve halal meat industry

Journal of Islamic Marketing ◽

10.1108/jima-10-2017-0119 ◽

2019 ◽

Vol 10 (1) ◽

pp. 97-124 ◽

Cited By ~ 10

Author(s):

Iwan Vanany ◽

Ghoffar Albab Maarif ◽

Jan Mei Soon

Keyword(s):

Food Production ◽

Quality Function Deployment ◽

Food Industry ◽

Raw Material ◽

Second Phase ◽

Processing Plant ◽

Final Phase ◽

Quality Function ◽

Content Type ◽

Halal Food

PurposeHalal food market has grown significantly over the years. As consumers are becoming more aware of the significance of halal food products and certification, food industries will benefit from a model that controls and assures halal food production. Quality function deployment (QFD) is a tool to support product design and improve food quality systems. Thus, the purpose of this study is to propose a multi-phased QFD model to identify key processes and prioritise programmes to improve halal food production.Design/methodology/approachThe matrix in the first phase was designed using the halal assurance system (HAS) requirements and the set of production process. The relationships between HAS requirements and a set of halal critical factors [i.e. raw material (chicken), workers, procedures and documentation, equipment and premises] were established in the second phase. In the final phase, potential problems and improvement programmes arising under each critical halal phase were identified. The QFD model was developed and applied in a chicken processing plant in Indonesia.FindingsIn Matrix 1, slaughtering, meat processing and meat delivery were identified as the key process, whilst equipment, procedures and documentation and workers were determined as the most critical halal factors in Matrix 2. The final phase of the QFD approach assisted the chicken processing plant in reducing potential issues by identifying key improvement programmes. The prioritisation of improvement programmes also supports the company in decision-making and allocating their resources accordingly.Practical implicationsThe multi-phased QFD model can be designed and adapted to specific food industry. It can be used to assure halal food production and inform food industry which area to prioritise and to allocate resources accordingly. The improvement of halal food production will assist food companies to target and access international markets.Originality/valueThis study proposed a new multi-phased QFD model that can be used as a halal food assurance and prioritisation tool by the food industry. This model will benefit food industry intending to implement halal assurance scheme in their process, halal auditors and policymakers.

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